The Quant Analytics department at Bloomberg sits within Enterprise Products and is responsible for modeling market data, pricing, and risk calculations of financial derivatives across all asset classes. Our C++ libraries are used by all Bloomberg products and services, including the Terminal with over 300,000 clients, trading system solutions, enterprise risk management, and derivatives valuation services. The department includes several Quant teams focused on different asset classes, as well as portfolio-level analytics and model validation. These teams deliver C++ libraries, supported by Python-based validation and testing, that are integrated by the Engineering department into Bloomberg's IT systems. The Quant Library Architecture (QLA) team offers the opportunity to build experience at the cutting edge of C++ and financial mathematics, engaging with and influencing a wide variety of stakeholders of differing skill sets, to deliver scalable and strategic enterprise pricing and risk solutions. QLA is a small team of C++ experts tasked with helping the Quants be as productive as possible, for the long term. We are seeking a proficient C++ developer, with a strong interest in modern software development life-cycle practices. We'll trust you to: Support Quants; owning the developer experience for Quants. We build and debug C++ libraries either in VS Code remote containers in Docker, or directly on Unix hosts. Much of the infrastructure is provided by Engineering, but QLA maintain significant additional tooling to provide Quants the most powerful and usable development environment possible. Proactively maintain integration builds and test infrastructure. We run largely automated CI/CD builds with a wide variety of static analysis and other code quality assurance tooling. This affords not just ongoing regression testing, but also early warning of issues that might impair Quants' development environment. Rapid response and ongoing improvements to these systems are a key responsibility. Oversee architecture. Quants own a reasonable number of libraries interfaced into a wide variety of systems. QLA are heavily involved in API design and library architecture to meet Engineering standards whilst optimizing time to delivery, performance, and robustness. We also assess and provision 3rd party software when proven superior. Review code. Assisting Quants with coding best practices and improved solutions both when requested and proactively when appropriate. Once those Keep-The-Lights-On responsibilities are met, continue with project work as prioritized in partnership with Quants. This might be longer term improvements related to the above, development work on infrastructural components (such as the interfacing and orchestration library layers), performance tuning, or deeper engagement with Quant projects. Proactively engage stakeholders from a variety of backgrounds. Understand, document and communicate sometimes quite complex requirements. Context switch between strategic projects and urgent support requests. Clearly and concisely communicate a strategy, adapting communication to suit the audience and their concerns. You'll need to have: 7+ years of full software development life-cycle experience. Demonstrable proficiency with C++. Experience designing effective APIs. Knowledge of Python or other scripting languages. Knowledge of financial products such as derivatives, interest rates, or equity markets. We'd love to see: Experience mentoring and coaching other team members. Technical experience in some of CMake, AAD, Linux, Unix (Sun/IBM), Docker, WSL, Python, or OCaml. Knowledge of financial mathematics such as optimization techniques, monte-carlo, etc. A keen interest in developing skills in these areas. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Jul 05, 2025
Full time
The Quant Analytics department at Bloomberg sits within Enterprise Products and is responsible for modeling market data, pricing, and risk calculations of financial derivatives across all asset classes. Our C++ libraries are used by all Bloomberg products and services, including the Terminal with over 300,000 clients, trading system solutions, enterprise risk management, and derivatives valuation services. The department includes several Quant teams focused on different asset classes, as well as portfolio-level analytics and model validation. These teams deliver C++ libraries, supported by Python-based validation and testing, that are integrated by the Engineering department into Bloomberg's IT systems. The Quant Library Architecture (QLA) team offers the opportunity to build experience at the cutting edge of C++ and financial mathematics, engaging with and influencing a wide variety of stakeholders of differing skill sets, to deliver scalable and strategic enterprise pricing and risk solutions. QLA is a small team of C++ experts tasked with helping the Quants be as productive as possible, for the long term. We are seeking a proficient C++ developer, with a strong interest in modern software development life-cycle practices. We'll trust you to: Support Quants; owning the developer experience for Quants. We build and debug C++ libraries either in VS Code remote containers in Docker, or directly on Unix hosts. Much of the infrastructure is provided by Engineering, but QLA maintain significant additional tooling to provide Quants the most powerful and usable development environment possible. Proactively maintain integration builds and test infrastructure. We run largely automated CI/CD builds with a wide variety of static analysis and other code quality assurance tooling. This affords not just ongoing regression testing, but also early warning of issues that might impair Quants' development environment. Rapid response and ongoing improvements to these systems are a key responsibility. Oversee architecture. Quants own a reasonable number of libraries interfaced into a wide variety of systems. QLA are heavily involved in API design and library architecture to meet Engineering standards whilst optimizing time to delivery, performance, and robustness. We also assess and provision 3rd party software when proven superior. Review code. Assisting Quants with coding best practices and improved solutions both when requested and proactively when appropriate. Once those Keep-The-Lights-On responsibilities are met, continue with project work as prioritized in partnership with Quants. This might be longer term improvements related to the above, development work on infrastructural components (such as the interfacing and orchestration library layers), performance tuning, or deeper engagement with Quant projects. Proactively engage stakeholders from a variety of backgrounds. Understand, document and communicate sometimes quite complex requirements. Context switch between strategic projects and urgent support requests. Clearly and concisely communicate a strategy, adapting communication to suit the audience and their concerns. You'll need to have: 7+ years of full software development life-cycle experience. Demonstrable proficiency with C++. Experience designing effective APIs. Knowledge of Python or other scripting languages. Knowledge of financial products such as derivatives, interest rates, or equity markets. We'd love to see: Experience mentoring and coaching other team members. Technical experience in some of CMake, AAD, Linux, Unix (Sun/IBM), Docker, WSL, Python, or OCaml. Knowledge of financial mathematics such as optimization techniques, monte-carlo, etc. A keen interest in developing skills in these areas. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Treasure Data: At Treasure Data, we're on a mission to radically simplify how companies use data to create connected customer experiences. Our sophisticated cloud-based customer data platform drives operational efficiency across the enterprise to deliver powerful business outcomes in a way that's safe, flexible, and secure. We are thrilled that Gartner Magic Quadrant has recognized Treasure Data as a Leader in Customer Data Platforms for 2024! It's an honor to be acknowledged for our efforts in advancing the CDP industry with cutting-edge AI and real-time capabilities. View the report here. Furthermore, Treasure Data employees are enthusiastic, data-driven, and customer-obsessed. We are a team of drivers-self-starters who take initiative, anticipate needs, and proactively jump in to solve problems. Our actions reflect our values of honesty, reliability, openness, and humility. About the Team: Our Professional Services team is front and center when it comes to working with marquee customers and solving tough problems. Our team consists of data driven professionals with an analytical mindset and obsessed with delivering ROI for our customers. We pride ourselves in accelerating time to value for our customers and designing unique solutions that scale for our global customers. Whether it is a strategic conversation that needs to be had with customers or a technical discussion with architects and machine learning engineers, we have a wide variety of roles in the team that gives our employees the ability to expand their skills and grow horizontally as well as vertically within the organization. We are seeking a Sr. Data Engineer to join the team. In this role you will have the opportunity to: Help customers extract maximum value from their data by building data orchestration pipelines and solving complex problems. Be the domain expert in all things Treasure Data! Develop sophisticated solutions that will scale for large datasets and withstand the test of time. Ensure that your solutions are efficient, well-documented and easily customizable to different types of data and business use cases. Participate in blueprinting, scoping, prioritizing technical requirements and assist our customers in their digital transformation journey. Guide customers in best-practices for CDP implementation and ensure they are self-sufficient. Visit customers on-site and participate in in-person meetings. About You: University degree in Engineering or Computer Science or a quantitative field such as Math or Statistics. Background in data & technology and a track record (at least 2 years) of working with data and building scalable solutions. Working knowledge and 2+ years of experience in SQL and have successfully deployed data-oriented solutions (DW, BI, ETL, etc). 2+ years of experience coding with a scripting language such as Python. Comfortable working on team projects and collaborating via version control tools such as GitHub and GitLab. Experience handling issues, customer concerns, engaging with developers, business teams and working towards resolution. We would be thrilled if you Have experience with Cloud-based or SaaS products and a good understanding of Digital Marketing and Marketing Technologies. Have experience working with Big Data technologies (such as Hadoop, MapReduce, Hive/Pig, Cassandra, MongoDB, etc) An understanding of web technologies such as Javascript, node.js and html. Some level of understanding or experience in AI/ML. Physical Requirements: Working out of the London office according to our "Global Hybrid Working Policy." Travel Requirements: Approximately 10-25 % travel may be required as part of this job. Our Dedication to You: We value and promote diversity, equity, inclusion, and belonging in all aspects of our business and at all levels. Success comes from acknowledging, welcoming, and incorporating diverse perspectives. Diverse representation alone is not the desired outcome. We also strive to create an inclusive culture that encourages growth, ownership of your role, and achieving innovation in new and unique ways. Your voice will be heard, and we will help amplify it. Agencies and Recruiters: We cannot consider your candidate(s) without a contract in place. Any resumes received without having an active agreement will be considered gratis referrals to us. Thank you for your understanding and cooperation!
Jul 05, 2025
Full time
Treasure Data: At Treasure Data, we're on a mission to radically simplify how companies use data to create connected customer experiences. Our sophisticated cloud-based customer data platform drives operational efficiency across the enterprise to deliver powerful business outcomes in a way that's safe, flexible, and secure. We are thrilled that Gartner Magic Quadrant has recognized Treasure Data as a Leader in Customer Data Platforms for 2024! It's an honor to be acknowledged for our efforts in advancing the CDP industry with cutting-edge AI and real-time capabilities. View the report here. Furthermore, Treasure Data employees are enthusiastic, data-driven, and customer-obsessed. We are a team of drivers-self-starters who take initiative, anticipate needs, and proactively jump in to solve problems. Our actions reflect our values of honesty, reliability, openness, and humility. About the Team: Our Professional Services team is front and center when it comes to working with marquee customers and solving tough problems. Our team consists of data driven professionals with an analytical mindset and obsessed with delivering ROI for our customers. We pride ourselves in accelerating time to value for our customers and designing unique solutions that scale for our global customers. Whether it is a strategic conversation that needs to be had with customers or a technical discussion with architects and machine learning engineers, we have a wide variety of roles in the team that gives our employees the ability to expand their skills and grow horizontally as well as vertically within the organization. We are seeking a Sr. Data Engineer to join the team. In this role you will have the opportunity to: Help customers extract maximum value from their data by building data orchestration pipelines and solving complex problems. Be the domain expert in all things Treasure Data! Develop sophisticated solutions that will scale for large datasets and withstand the test of time. Ensure that your solutions are efficient, well-documented and easily customizable to different types of data and business use cases. Participate in blueprinting, scoping, prioritizing technical requirements and assist our customers in their digital transformation journey. Guide customers in best-practices for CDP implementation and ensure they are self-sufficient. Visit customers on-site and participate in in-person meetings. About You: University degree in Engineering or Computer Science or a quantitative field such as Math or Statistics. Background in data & technology and a track record (at least 2 years) of working with data and building scalable solutions. Working knowledge and 2+ years of experience in SQL and have successfully deployed data-oriented solutions (DW, BI, ETL, etc). 2+ years of experience coding with a scripting language such as Python. Comfortable working on team projects and collaborating via version control tools such as GitHub and GitLab. Experience handling issues, customer concerns, engaging with developers, business teams and working towards resolution. We would be thrilled if you Have experience with Cloud-based or SaaS products and a good understanding of Digital Marketing and Marketing Technologies. Have experience working with Big Data technologies (such as Hadoop, MapReduce, Hive/Pig, Cassandra, MongoDB, etc) An understanding of web technologies such as Javascript, node.js and html. Some level of understanding or experience in AI/ML. Physical Requirements: Working out of the London office according to our "Global Hybrid Working Policy." Travel Requirements: Approximately 10-25 % travel may be required as part of this job. Our Dedication to You: We value and promote diversity, equity, inclusion, and belonging in all aspects of our business and at all levels. Success comes from acknowledging, welcoming, and incorporating diverse perspectives. Diverse representation alone is not the desired outcome. We also strive to create an inclusive culture that encourages growth, ownership of your role, and achieving innovation in new and unique ways. Your voice will be heard, and we will help amplify it. Agencies and Recruiters: We cannot consider your candidate(s) without a contract in place. Any resumes received without having an active agreement will be considered gratis referrals to us. Thank you for your understanding and cooperation!
About Wintermute Wintermute is one of the largest crypto-native algorithmic trading companies in digital assets. We provide liquidity algorithmically across most cryptocurrency exchanges and trading platforms, a broad range of OTC trading solutions as well as support high profile blockchain projects and traditional financial institutions moving into crypto. Wintermute also has a Wintermute Ventures arm that invests in early stage DeFi projects. Wintermute was founded in 2017 by industry leaders and has successfully navigated crypto industry cycles. Culturally, we combine the best of the two worlds: the technology standards of high-frequency trading firms in traditional markets and the innovative and entrepreneurial culture of technology startups. To Wintermute digital assets is not just another asset class, we believe in the innovative potential of blockchain, the fundamental innovations, we have a long-term view on the digital asset market and are taking a leadership position in building an innovative and compliant market. Read more here. Working at Wintermute We are looking for a C++ Quant Developer who is passionate about technology, interested in both low level details of how computer hardware operates and high-level design of large systems, as well as in data infrastructure. Someone who likes opening the hood to see how things work, has understanding of data structures, experience writing client-server network applications, and writing and optimising code for high performance. We welcome your previous experience from your own personal projects as well as commercial experience. A PhD in maths is not uncommon for our Quant Developers, and at least a graduate level of maths skills is required. Interest in algorithmic and quantitative trading is a plus. At Wintermute you will have an opportunity to grow and make direct impact on trading by developing and improving all the parts of the trading platform, data infrastructure and related software, while also getting advice and guidance from very experienced developers and traders, including the founders. You will get a lot of independence and responsibility right away, and you'll learn at an unprecedented speed! No legacy systems, no multiple levels of approvals, no bureaucracy; all developers report directly to the CTO who is very hands-on. It is up to you to make an impact! You will work alongside exceptionally sharp colleagues, learn how to write fail-safe code and improve performance and scalability of the trading system, a real challenge and a rare opportunity! We have flexible working arrangements; it's the productivity that matters. At least several days a week in the office with our own gym, unlimited food and drinks are required. What will you work on A great advantage of this position is that it is varied, and it is also up to you to shape it in the direction that matches your talents and company needs. The focus of the role would be to create data infrastructure to bring the analytics to the next level and support the scaling of quantitative trading. Projects may also include upgrading major trading system components, designing a completely new application from scratch, working on implementation of pricing models. We will share more technical details in the interviews. You will have opportunity to improve your knowledge of software optimisations, of building robust large-scale systems and to understand cryptocurrency trading. Hard Skills requirements At least 2 years' experience with C++ - we will test Understanding networking and implementing client-server connections - we will test Experience with looking under the hood to see how C++ standard libraries work - we will test Strong analytical skills - we will test Join our dynamic team and benefit from: Working at one of the most innovative trading firms globally. Engaging projects offering accelerated responsibilities and ownership compared to traditional finance environments. A vibrant working culture with frequent team meals, holiday celebrations, gaming events, and company-wide outings, including our annual Wintermute weekend getaway. A Wintermute-inspired office in central London, featuring an array of amenities such as table tennis and foosball, personalized desk configurations, a cozy team breakout area with games and free food. Great company culture: informal, non-hierarchical, ambitious, highly professional with a startup vibe, collaborative and entrepreneurial. A performance-based compensation with a significant earning potential alongside standard perks like pension and private health insurance. Note: Although we are unable to accept fully remote candidates, we support significant flexibility in regards to working from home and working hours. We offer UK work permits and help with relocation. Find out more: Website Twitter Linkedin Youtube View our open positions
Jul 05, 2025
Full time
About Wintermute Wintermute is one of the largest crypto-native algorithmic trading companies in digital assets. We provide liquidity algorithmically across most cryptocurrency exchanges and trading platforms, a broad range of OTC trading solutions as well as support high profile blockchain projects and traditional financial institutions moving into crypto. Wintermute also has a Wintermute Ventures arm that invests in early stage DeFi projects. Wintermute was founded in 2017 by industry leaders and has successfully navigated crypto industry cycles. Culturally, we combine the best of the two worlds: the technology standards of high-frequency trading firms in traditional markets and the innovative and entrepreneurial culture of technology startups. To Wintermute digital assets is not just another asset class, we believe in the innovative potential of blockchain, the fundamental innovations, we have a long-term view on the digital asset market and are taking a leadership position in building an innovative and compliant market. Read more here. Working at Wintermute We are looking for a C++ Quant Developer who is passionate about technology, interested in both low level details of how computer hardware operates and high-level design of large systems, as well as in data infrastructure. Someone who likes opening the hood to see how things work, has understanding of data structures, experience writing client-server network applications, and writing and optimising code for high performance. We welcome your previous experience from your own personal projects as well as commercial experience. A PhD in maths is not uncommon for our Quant Developers, and at least a graduate level of maths skills is required. Interest in algorithmic and quantitative trading is a plus. At Wintermute you will have an opportunity to grow and make direct impact on trading by developing and improving all the parts of the trading platform, data infrastructure and related software, while also getting advice and guidance from very experienced developers and traders, including the founders. You will get a lot of independence and responsibility right away, and you'll learn at an unprecedented speed! No legacy systems, no multiple levels of approvals, no bureaucracy; all developers report directly to the CTO who is very hands-on. It is up to you to make an impact! You will work alongside exceptionally sharp colleagues, learn how to write fail-safe code and improve performance and scalability of the trading system, a real challenge and a rare opportunity! We have flexible working arrangements; it's the productivity that matters. At least several days a week in the office with our own gym, unlimited food and drinks are required. What will you work on A great advantage of this position is that it is varied, and it is also up to you to shape it in the direction that matches your talents and company needs. The focus of the role would be to create data infrastructure to bring the analytics to the next level and support the scaling of quantitative trading. Projects may also include upgrading major trading system components, designing a completely new application from scratch, working on implementation of pricing models. We will share more technical details in the interviews. You will have opportunity to improve your knowledge of software optimisations, of building robust large-scale systems and to understand cryptocurrency trading. Hard Skills requirements At least 2 years' experience with C++ - we will test Understanding networking and implementing client-server connections - we will test Experience with looking under the hood to see how C++ standard libraries work - we will test Strong analytical skills - we will test Join our dynamic team and benefit from: Working at one of the most innovative trading firms globally. Engaging projects offering accelerated responsibilities and ownership compared to traditional finance environments. A vibrant working culture with frequent team meals, holiday celebrations, gaming events, and company-wide outings, including our annual Wintermute weekend getaway. A Wintermute-inspired office in central London, featuring an array of amenities such as table tennis and foosball, personalized desk configurations, a cozy team breakout area with games and free food. Great company culture: informal, non-hierarchical, ambitious, highly professional with a startup vibe, collaborative and entrepreneurial. A performance-based compensation with a significant earning potential alongside standard perks like pension and private health insurance. Note: Although we are unable to accept fully remote candidates, we support significant flexibility in regards to working from home and working hours. We offer UK work permits and help with relocation. Find out more: Website Twitter Linkedin Youtube View our open positions
About Wintermute Wintermute is one of the largest crypto-native algorithmic trading companies in digital assets. We provide liquidity algorithmically across most cryptocurrency exchanges and trading platforms, a broad range of OTC trading solutions as well as support high profile blockchain projects and traditional financial institutions moving into crypto. We actively participate in the development of the blockchain ecosystem through investments, partnerships, and incubation of projects. Wintermute was founded in 2017 by industry leaders and has successfully navigated multiple crypto industry cycles. Culturally, we combine the best of two worlds: the technology standards of a traditional high-frequency trading firm and the innovative and entrepreneurial culture of a technology startup. Read more here. Working at Wintermute We are looking for an Algorithmic Trader with strong coding skills (Python) and a curiosity about HFT, liquidity provision, and crypto trading. At Wintermute, you will be responsible for your own "desk" right from the start. You will have the opportunity to develop your own product (trading algorithms, trading strategies), while also getting advice and guidance from very experienced traders and developers, including the founders/management team. You will get a lot of independence and responsibility right away, and you'll learn at an unprecedented speed! No legacy systems, no corporate bureaucracy, no multiple levels of approvals. It is up to you to make an impact. What will you work on After a short training period, you'll be tasked with improving existing strategies, adding new trading products and improving the technology behind our trading systems. You'll need to analyze large amounts of trading and transaction data, generate insights, prioritize them and build solutions based on your findings. You can expect to be able to make an immediate impact on P&L and will be encouraged to explore new ideas and strategies. We will share more technical details in the interviews. Note: we are looking for people with strong quantitative and coding skills, but this is a business/trading (not a research) role first and foremost. Hard Skills Requirements 1-3 years of experience in a relevant role; however, we also welcome recent graduates who have completed internships at other HFT firms. Strong Python skills - you have 1-3 years of experience coding in Python, be that through work, study or personal project experience - we will test! Excellent quantitative and analytical skills - we will test! Trading knowledge isn't required but a strong willingness and curiosity to learn algorithmic, high-frequency, quantitative, and liquidity provision trading is crucial. Strong interest and curiosity in blockchain, crypto, and DeFi - you like keeping track of major news and developments in the crypto world. Other Requirements Have an owner mentality - you focus on ultimate result (short and long-term P&L for the company), focus on strategically growing the business for the future vs "cashing-in" fast. Love problem solving, and love seeing your products work; you do whatever it takes to do what's needed (trading, coding, analyzing data, collaborating). Determined, ambitious yet humble, willing to work hard and learn on the way. Like meritocracy and being judged by what you deliver. Have an entrepreneurial mindset versus working 9-to-5 mentality; prepared to work non-standard working hours (since we are a high-growth startup operating in a 24/7 crypto world). Like working in a team environment (not fully remote), at least 75% working from our London office. Join our dynamic team and benefit from: Working at one of the most innovative trading firms globally. Engaging projects offering accelerated responsibilities and ownership compared to traditional finance environments. A vibrant working culture with frequent team meals, holiday celebrations, gaming events, and company-wide outings, including our annual Wintermute weekend getaway. A Wintermute-inspired office in central London, featuring an array of amenities such as table tennis and foosball, personalized desk configurations, a cozy team breakout area with games and free food. Great company culture: informal, non-hierarchical, ambitious, highly professional with a startup vibe, collaborative and entrepreneurial. A performance-based compensation with a significant earning potential alongside standard perks like pension and private health insurance. Note: Although we are unable to accept fully remote candidates, we support significant flexibility in regards to working from home and working hours. We offer UK work permits and help with relocation.
Jul 05, 2025
Full time
About Wintermute Wintermute is one of the largest crypto-native algorithmic trading companies in digital assets. We provide liquidity algorithmically across most cryptocurrency exchanges and trading platforms, a broad range of OTC trading solutions as well as support high profile blockchain projects and traditional financial institutions moving into crypto. We actively participate in the development of the blockchain ecosystem through investments, partnerships, and incubation of projects. Wintermute was founded in 2017 by industry leaders and has successfully navigated multiple crypto industry cycles. Culturally, we combine the best of two worlds: the technology standards of a traditional high-frequency trading firm and the innovative and entrepreneurial culture of a technology startup. Read more here. Working at Wintermute We are looking for an Algorithmic Trader with strong coding skills (Python) and a curiosity about HFT, liquidity provision, and crypto trading. At Wintermute, you will be responsible for your own "desk" right from the start. You will have the opportunity to develop your own product (trading algorithms, trading strategies), while also getting advice and guidance from very experienced traders and developers, including the founders/management team. You will get a lot of independence and responsibility right away, and you'll learn at an unprecedented speed! No legacy systems, no corporate bureaucracy, no multiple levels of approvals. It is up to you to make an impact. What will you work on After a short training period, you'll be tasked with improving existing strategies, adding new trading products and improving the technology behind our trading systems. You'll need to analyze large amounts of trading and transaction data, generate insights, prioritize them and build solutions based on your findings. You can expect to be able to make an immediate impact on P&L and will be encouraged to explore new ideas and strategies. We will share more technical details in the interviews. Note: we are looking for people with strong quantitative and coding skills, but this is a business/trading (not a research) role first and foremost. Hard Skills Requirements 1-3 years of experience in a relevant role; however, we also welcome recent graduates who have completed internships at other HFT firms. Strong Python skills - you have 1-3 years of experience coding in Python, be that through work, study or personal project experience - we will test! Excellent quantitative and analytical skills - we will test! Trading knowledge isn't required but a strong willingness and curiosity to learn algorithmic, high-frequency, quantitative, and liquidity provision trading is crucial. Strong interest and curiosity in blockchain, crypto, and DeFi - you like keeping track of major news and developments in the crypto world. Other Requirements Have an owner mentality - you focus on ultimate result (short and long-term P&L for the company), focus on strategically growing the business for the future vs "cashing-in" fast. Love problem solving, and love seeing your products work; you do whatever it takes to do what's needed (trading, coding, analyzing data, collaborating). Determined, ambitious yet humble, willing to work hard and learn on the way. Like meritocracy and being judged by what you deliver. Have an entrepreneurial mindset versus working 9-to-5 mentality; prepared to work non-standard working hours (since we are a high-growth startup operating in a 24/7 crypto world). Like working in a team environment (not fully remote), at least 75% working from our London office. Join our dynamic team and benefit from: Working at one of the most innovative trading firms globally. Engaging projects offering accelerated responsibilities and ownership compared to traditional finance environments. A vibrant working culture with frequent team meals, holiday celebrations, gaming events, and company-wide outings, including our annual Wintermute weekend getaway. A Wintermute-inspired office in central London, featuring an array of amenities such as table tennis and foosball, personalized desk configurations, a cozy team breakout area with games and free food. Great company culture: informal, non-hierarchical, ambitious, highly professional with a startup vibe, collaborative and entrepreneurial. A performance-based compensation with a significant earning potential alongside standard perks like pension and private health insurance. Note: Although we are unable to accept fully remote candidates, we support significant flexibility in regards to working from home and working hours. We offer UK work permits and help with relocation.
Quantitative Developer - C++ Infrastructure for Quant Analytics Location London Business Area Product Ref # Description & Requirements The Quant Analytics department at Bloomberg sits within Enterprise Products and is responsible for modeling market data, pricing, and risk calculations of financial derivatives across all asset classes. Our C++ libraries are used by all Bloomberg products and services, including the Terminal with over 300,000 clients, trading system solutions, enterprise risk management, and derivatives valuation services. The department includes several Quant teams focused on different asset classes, as well as portfolio-level analytics and model validation. These teams deliver C++ libraries, supported by Python-based validation and testing, that are integrated by the Engineering department into Bloomberg's IT systems. The Quant Library Architecture (QLA) team offers the opportunity to build experience at the cutting edge of C++ and financial mathematics, engaging with and influencing a wide variety of stakeholders of differing skill sets, to deliver scalable and strategic enterprise pricing and risk solutions. QLA is a small team of C++ experts tasked with helping the Quants be as productive as possible, for the long term. We are seeking a proficient C++ developer, with a strong interest in modern software development life-cycle practices. We'll trust you to: Support Quants; owning the developer experience for Quants. We build and debug C++ libraries either in VS Code remote containers in Docker, or directly on Unix hosts. Much of the infrastructure is provided by Engineering, but QLA maintain significant additional tooling to provide Quants the most powerful and usable development environment possible. Proactively maintain integration builds and test infrastructure. We run largely automated CI/CD builds with a wide variety of static analysis and other code quality assurance tooling. This affords not just ongoing regression testing, but also early warning of issues that might impair Quants' development environment. Rapid response and ongoing improvements to these systems are a key responsibility. Oversee architecture. Quants own a reasonable number of libraries interfaced into a wide variety of systems. QLA are heavily involved in API design and library architecture to meet Engineering standards whilst optimizing time to delivery, performance, and robustness. We also assess and provision 3rd party software when proven superior. Review code. Assisting Quants with coding best practices and improved solutions both when requested and proactively when appropriate. Once those Keep-The-Lights-On responsibilities are met, continue with project work as prioritized in partnership with Quants. This might be longer term improvements related to the above, development work on infrastructural components (such as the interfacing and orchestration library layers), performance tuning, or deeper engagement with Quant projects. Proactively engage stakeholders from a variety of backgrounds. Understand, document and communicate sometimes quite complex requirements. Context switch between strategic projects and urgent support requests. Clearly and concisely communicate a strategy, adapting communication to suit the audience and their concerns. You'll need to have: 7+ years of full software development life-cycle experience. Demonstrable proficiency with C++. Knowledge of Python or other scripting languages. Knowledge of financial products such as derivatives, interest rates, or equity markets. We'd love to see: Experience mentoring and coaching other team members. Technical experience in some of CMake, AAD, Linux, Unix (Sun/IBM), Docker, WSL, Python, or OCaml. Knowledge of financial mathematics such as optimization techniques, monte-carlo, etc. A keen interest in developing skills in these areas.
Jul 05, 2025
Full time
Quantitative Developer - C++ Infrastructure for Quant Analytics Location London Business Area Product Ref # Description & Requirements The Quant Analytics department at Bloomberg sits within Enterprise Products and is responsible for modeling market data, pricing, and risk calculations of financial derivatives across all asset classes. Our C++ libraries are used by all Bloomberg products and services, including the Terminal with over 300,000 clients, trading system solutions, enterprise risk management, and derivatives valuation services. The department includes several Quant teams focused on different asset classes, as well as portfolio-level analytics and model validation. These teams deliver C++ libraries, supported by Python-based validation and testing, that are integrated by the Engineering department into Bloomberg's IT systems. The Quant Library Architecture (QLA) team offers the opportunity to build experience at the cutting edge of C++ and financial mathematics, engaging with and influencing a wide variety of stakeholders of differing skill sets, to deliver scalable and strategic enterprise pricing and risk solutions. QLA is a small team of C++ experts tasked with helping the Quants be as productive as possible, for the long term. We are seeking a proficient C++ developer, with a strong interest in modern software development life-cycle practices. We'll trust you to: Support Quants; owning the developer experience for Quants. We build and debug C++ libraries either in VS Code remote containers in Docker, or directly on Unix hosts. Much of the infrastructure is provided by Engineering, but QLA maintain significant additional tooling to provide Quants the most powerful and usable development environment possible. Proactively maintain integration builds and test infrastructure. We run largely automated CI/CD builds with a wide variety of static analysis and other code quality assurance tooling. This affords not just ongoing regression testing, but also early warning of issues that might impair Quants' development environment. Rapid response and ongoing improvements to these systems are a key responsibility. Oversee architecture. Quants own a reasonable number of libraries interfaced into a wide variety of systems. QLA are heavily involved in API design and library architecture to meet Engineering standards whilst optimizing time to delivery, performance, and robustness. We also assess and provision 3rd party software when proven superior. Review code. Assisting Quants with coding best practices and improved solutions both when requested and proactively when appropriate. Once those Keep-The-Lights-On responsibilities are met, continue with project work as prioritized in partnership with Quants. This might be longer term improvements related to the above, development work on infrastructural components (such as the interfacing and orchestration library layers), performance tuning, or deeper engagement with Quant projects. Proactively engage stakeholders from a variety of backgrounds. Understand, document and communicate sometimes quite complex requirements. Context switch between strategic projects and urgent support requests. Clearly and concisely communicate a strategy, adapting communication to suit the audience and their concerns. You'll need to have: 7+ years of full software development life-cycle experience. Demonstrable proficiency with C++. Knowledge of Python or other scripting languages. Knowledge of financial products such as derivatives, interest rates, or equity markets. We'd love to see: Experience mentoring and coaching other team members. Technical experience in some of CMake, AAD, Linux, Unix (Sun/IBM), Docker, WSL, Python, or OCaml. Knowledge of financial mathematics such as optimization techniques, monte-carlo, etc. A keen interest in developing skills in these areas.
Graduate Algorithmic Trader 2023 London / Trading / Full-time / On-site About Wintermute At Wintermute our mission is to enable, empower and advance the truly decentralized world for more transparent and efficient markets and products. We do this by providing liquidity algorithmically across most trading venues in crypto, supporting all major centralized and decentralized trading venues, AMMs, RFQs, aggregators and chains. Wintermute is also offering best-in-class OTC products to crypto native as well as traditional financial institutions. Wintermute is actively participating in the building and development of the blockchain ecosystem through investments from Wintermute Ventures, partnerships and co-development with upcoming protocols and incubation of own projects. We act as official liquidity providers for a large number of the world's highest profile blockchain projects. Wintermute is a hyper-growth highly profitable business with a very ambitious vision and roadmap. We manage billions of dollars in assets and trade more than $5B/day. We are backed by Lightspeed, Pantera Capital, Sino Global Capital, Ventures, Avon Ventures by Fidelity Investments, DeFi Alliance and other top tier investors. We are run as a technology company, not a financial service provider, and we build our culture around core values of ambition, collaboration, entrepreneurship, transparency and meritocracy. Working at Wintermute We are looking for an Algorithmic Trader with strong coding skills (Python) and a curiosity about HFT, liquidity provision and crypto trading. At Wintermute, you will be responsible for your own "desk" right from the start. You will have the opportunity to develop your own product (trading algorithms, trading strategies), while also getting advice and guidance from very experienced traders and developers, including the founders/management team. You will get a lot of independence and responsibility right away, and you'll learn at an unprecedented speed! No legacy systems, no corporate bureaucracy, no multiple levels of approvals. It is up to you to make an impact. You will act like an owner and your incentives (incl. equity) will be completely aligned with those of the company! What will you work on After a short training period, you'll be tasked with improving existing strategies, adding new trading products and improving the technology behind our trading systems. You'll need to analyze large amounts of trading and transaction data, generate insights, prioritize them and build solutions based on your findings. You can expect to be able to make an immediate impact on P&L and will be encouraged to explore new ideas and strategies. We will share more technical details in the interviews. The point is: there is no limit set by the company! Note: we are looking for people with strong quantitative and coding skills, but this is a business/trading (not a research) role first and foremost. Hard Skills Requirements Strong Python skills - you have 1-3 years of experience coding in Python, be that through work, study or personal project experience - we will test! Excellent quantitative and analytical skills - we will test! Trading knowledge isn't required but a strong willingness and curiosity to learn algorithmic, high-frequency, quantitative and liquidity provision trading is crucial. Strong interest and curiosity in blockchain, crypto and DeFi - you like keeping track of major news and developments in the crypto world. Other Requirements Have an owner mentality - you focus on ultimate result (short and long-term P&L for the company), focus on strategically growing the business for the future vs "cashing-in" fast. Love problem solving, and love seeing your products work; you do whatever it takes to do what's needed (trading, coding, analysing data, collaborating). Determined, ambitious yet humble, willing to work hard and learn on the way. Like meritocracy and being judged by what you deliver. Have an entrepreneurial mindset versus working 9-to-5 mentality; prepared to work non-standard working hours (since we are a high-growth startup operating in 24/7 crypto world). Like working in a team environment (not fully remote), at least 75% working from our London office. Wintermute Offer A unique opportunity to work on very interesting projects, get the level of responsibility and ownership that would take 5-10 years longer to get in a traditional trading company/bank/hedge fund. A unique opportunity to join one of the fastest growing and most innovative algorithmic trading companies in the world. Great culture: highly professional and ambitious, yet informal, non-hierarchical, collaborative and entrepreneurial; we are very flat and hands-on environment - you will work very closely with the CEO, CTO, Head of Trading and the rest of the management team. No legacy systems and bureaucracy; access to high performance low latency infrastructure. A cool office in central London with a sci-fi touch. Aligned incentive structure: a significant part of your compensation is performance-based with substantial upside. Tips for Successful Application Only apply to us if you are genuinely interested or curious about this role and the space; this is not for someone who is just looking for "a job" or is looking to maximize their short-term fixed salary. Do your research: look at our website and social media channels. Write us a short, honest, and direct message if you'd like to apply. Tell us about why you are interested in crypto and liquidity provision in general and in Wintermute in particular. Do not send us generic copy paste applications, we are looking for authentic people who share our interests, values and ambitions! If you don't have some obviously matching experience or skills, make sure you state very clearly what you can bring or how your experience is relevant (but note, we do require Python knowledge). Prepare to be tested on your Python knowledge. Your knowledge and ability to get things done fast is very important to us. Do your homework on what HFT/liquidity provision/algo trading is. (Hint: we are not in the business of position taking, directional betting, stock/token picking, technical analysis, "AI" (as in the buzz-word) and we are not a research business for the sake of research). We get a lot of applications, so unfortunately, we won't be able to proceed if you simply press "submit button"; we do promise to reply to everyone who puts time and effort into making the application relevant! Application Process Online Coding and Quantitative reasoning tests. 1st Round - 30-45mins interview with a Trader. 2nd Round - 30-45mins interview with a Trader. 3rd Round - 45 mins interview with the Head of Trading. 4th Round - 45 mins interview with the Head of Talent or COO. Please note that this is a rough interview process guideline, it can change on a case by case basis.
Jul 05, 2025
Full time
Graduate Algorithmic Trader 2023 London / Trading / Full-time / On-site About Wintermute At Wintermute our mission is to enable, empower and advance the truly decentralized world for more transparent and efficient markets and products. We do this by providing liquidity algorithmically across most trading venues in crypto, supporting all major centralized and decentralized trading venues, AMMs, RFQs, aggregators and chains. Wintermute is also offering best-in-class OTC products to crypto native as well as traditional financial institutions. Wintermute is actively participating in the building and development of the blockchain ecosystem through investments from Wintermute Ventures, partnerships and co-development with upcoming protocols and incubation of own projects. We act as official liquidity providers for a large number of the world's highest profile blockchain projects. Wintermute is a hyper-growth highly profitable business with a very ambitious vision and roadmap. We manage billions of dollars in assets and trade more than $5B/day. We are backed by Lightspeed, Pantera Capital, Sino Global Capital, Ventures, Avon Ventures by Fidelity Investments, DeFi Alliance and other top tier investors. We are run as a technology company, not a financial service provider, and we build our culture around core values of ambition, collaboration, entrepreneurship, transparency and meritocracy. Working at Wintermute We are looking for an Algorithmic Trader with strong coding skills (Python) and a curiosity about HFT, liquidity provision and crypto trading. At Wintermute, you will be responsible for your own "desk" right from the start. You will have the opportunity to develop your own product (trading algorithms, trading strategies), while also getting advice and guidance from very experienced traders and developers, including the founders/management team. You will get a lot of independence and responsibility right away, and you'll learn at an unprecedented speed! No legacy systems, no corporate bureaucracy, no multiple levels of approvals. It is up to you to make an impact. You will act like an owner and your incentives (incl. equity) will be completely aligned with those of the company! What will you work on After a short training period, you'll be tasked with improving existing strategies, adding new trading products and improving the technology behind our trading systems. You'll need to analyze large amounts of trading and transaction data, generate insights, prioritize them and build solutions based on your findings. You can expect to be able to make an immediate impact on P&L and will be encouraged to explore new ideas and strategies. We will share more technical details in the interviews. The point is: there is no limit set by the company! Note: we are looking for people with strong quantitative and coding skills, but this is a business/trading (not a research) role first and foremost. Hard Skills Requirements Strong Python skills - you have 1-3 years of experience coding in Python, be that through work, study or personal project experience - we will test! Excellent quantitative and analytical skills - we will test! Trading knowledge isn't required but a strong willingness and curiosity to learn algorithmic, high-frequency, quantitative and liquidity provision trading is crucial. Strong interest and curiosity in blockchain, crypto and DeFi - you like keeping track of major news and developments in the crypto world. Other Requirements Have an owner mentality - you focus on ultimate result (short and long-term P&L for the company), focus on strategically growing the business for the future vs "cashing-in" fast. Love problem solving, and love seeing your products work; you do whatever it takes to do what's needed (trading, coding, analysing data, collaborating). Determined, ambitious yet humble, willing to work hard and learn on the way. Like meritocracy and being judged by what you deliver. Have an entrepreneurial mindset versus working 9-to-5 mentality; prepared to work non-standard working hours (since we are a high-growth startup operating in 24/7 crypto world). Like working in a team environment (not fully remote), at least 75% working from our London office. Wintermute Offer A unique opportunity to work on very interesting projects, get the level of responsibility and ownership that would take 5-10 years longer to get in a traditional trading company/bank/hedge fund. A unique opportunity to join one of the fastest growing and most innovative algorithmic trading companies in the world. Great culture: highly professional and ambitious, yet informal, non-hierarchical, collaborative and entrepreneurial; we are very flat and hands-on environment - you will work very closely with the CEO, CTO, Head of Trading and the rest of the management team. No legacy systems and bureaucracy; access to high performance low latency infrastructure. A cool office in central London with a sci-fi touch. Aligned incentive structure: a significant part of your compensation is performance-based with substantial upside. Tips for Successful Application Only apply to us if you are genuinely interested or curious about this role and the space; this is not for someone who is just looking for "a job" or is looking to maximize their short-term fixed salary. Do your research: look at our website and social media channels. Write us a short, honest, and direct message if you'd like to apply. Tell us about why you are interested in crypto and liquidity provision in general and in Wintermute in particular. Do not send us generic copy paste applications, we are looking for authentic people who share our interests, values and ambitions! If you don't have some obviously matching experience or skills, make sure you state very clearly what you can bring or how your experience is relevant (but note, we do require Python knowledge). Prepare to be tested on your Python knowledge. Your knowledge and ability to get things done fast is very important to us. Do your homework on what HFT/liquidity provision/algo trading is. (Hint: we are not in the business of position taking, directional betting, stock/token picking, technical analysis, "AI" (as in the buzz-word) and we are not a research business for the sake of research). We get a lot of applications, so unfortunately, we won't be able to proceed if you simply press "submit button"; we do promise to reply to everyone who puts time and effort into making the application relevant! Application Process Online Coding and Quantitative reasoning tests. 1st Round - 30-45mins interview with a Trader. 2nd Round - 30-45mins interview with a Trader. 3rd Round - 45 mins interview with the Head of Trading. 4th Round - 45 mins interview with the Head of Talent or COO. Please note that this is a rough interview process guideline, it can change on a case by case basis.
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With a decade of experience, we provide over 300 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. We're always on the lookout for talented individuals whose principles and interests align with our own. While we don't have a specific vacancy open at the moment, by registering your interest for the Senior Data Scientist Talent Pool, you'll be among the first to hear about job openings in our Frontier Team that align with your experience when they go live. What you'll be doing: As a Lead Data Scientist within Frontier, you will lead the data science work on project teams that are configuring our product Frontier for our customers. Each deployment of Frontier requires a computational twin, essentially an AI-powered digital twin, to be built, and it is primarily the responsibility of our data scientists to both design and then build these computational twins. Whilst doing this well is partly about building familiarity with Frontier's development interfaces, it's mainly about doing things that are critical in any applied data science role; namely deeply understanding the core customer problem in order to ensure that the technical solution can drive value. In terms of more technical activities, the build of a computational twin involves a bunch of tasks common to all data science work such as EDA, model building, and model evaluation. In terms of other activities you'll do in the role: You'll be a leader within a cross-functional delivery team, working closely with engineers, designers, and commercial roles to deliver value to customers. Working closely with the leads of these other functions you'll ultimately be responsible for the successful delivery. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. You will play an important role in the development of other data scientists at Faculty through activity management and potentially line management of others. Who we're looking for: Leadership experience in either a professional data science position or a quantitative academic field Strong python programming skills as evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focussed on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists; enthusiasm for nurturing a collaborative and dynamic culture An appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deployment Some commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audience Experience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery A product mindset, able to understand the needs of users and to learn how Frontier delivers them value What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Jul 05, 2025
Full time
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With a decade of experience, we provide over 300 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. We're always on the lookout for talented individuals whose principles and interests align with our own. While we don't have a specific vacancy open at the moment, by registering your interest for the Senior Data Scientist Talent Pool, you'll be among the first to hear about job openings in our Frontier Team that align with your experience when they go live. What you'll be doing: As a Lead Data Scientist within Frontier, you will lead the data science work on project teams that are configuring our product Frontier for our customers. Each deployment of Frontier requires a computational twin, essentially an AI-powered digital twin, to be built, and it is primarily the responsibility of our data scientists to both design and then build these computational twins. Whilst doing this well is partly about building familiarity with Frontier's development interfaces, it's mainly about doing things that are critical in any applied data science role; namely deeply understanding the core customer problem in order to ensure that the technical solution can drive value. In terms of more technical activities, the build of a computational twin involves a bunch of tasks common to all data science work such as EDA, model building, and model evaluation. In terms of other activities you'll do in the role: You'll be a leader within a cross-functional delivery team, working closely with engineers, designers, and commercial roles to deliver value to customers. Working closely with the leads of these other functions you'll ultimately be responsible for the successful delivery. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. You will play an important role in the development of other data scientists at Faculty through activity management and potentially line management of others. Who we're looking for: Leadership experience in either a professional data science position or a quantitative academic field Strong python programming skills as evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focussed on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists; enthusiasm for nurturing a collaborative and dynamic culture An appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deployment Some commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audience Experience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery A product mindset, able to understand the needs of users and to learn how Frontier delivers them value What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
We're looking for an experienced and enthusiastic Data Scientist to tackle the challenge of low-carbon heating and cooling flexibility. You'll help build next-gen optimisation models and control algorithms for heating and cooling consumer assets across the UK, Europe, and beyond. Your work will support the commercialisation of heat flexibility in the UK and help drive the adoption of low-carbon heating in homes nationwide. What you'll do: Create building-level and fleet-level heating and cooling optimisation models Design new & novel approaches to heat and cool homes at lower energy costs Work with developers to create & deliver optimisation instructions to Octopus & third-party heat pumps, air conditioners, and associated technologies Support the rollout of heating/cooling assets into energy flexibility markets What you'll need: Experience in a relevant field like energy management, controls design, or machine learning applied to energy or complex optimisation systems A strong grasp of data science tools and platforms (SQL, Python, etc.) Solid understanding of machine learning algorithms and experience creating stochastic models Knowledge of UK and/or European energy markets, particularly energy flexibility Experience building predictive models using a range of data sources (internal and external) Familiarity with how heating systems behave and are controlled - especially air-to-water heat pumps and hot water systems A Master's degree or PhD in a quantitative field (like Data Science, Computer Science, or Statistics) is great - but equivalent experience is equally valued Why else you'll love it here: Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit! Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We won best company to work for in 2022, on Glassdoor we were voted 50 best places to work in 2022 and our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We've also been placed in the top 10 companies for senior leadership Visit our UK perks hub - Octopus Employee Benefits Our process usually takes up to 4 weeks, but we'll always do our best to flex around what works for you. Along the way, you'll chat with our recruitment team and your Recruiter will help you throughout different stages. Got any burning questions before then? Drop us a message at and we'd love to help! If this sounds like you then we'd love to hear from you. Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential.Need any specific accommodations?Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.
Jul 05, 2025
Full time
We're looking for an experienced and enthusiastic Data Scientist to tackle the challenge of low-carbon heating and cooling flexibility. You'll help build next-gen optimisation models and control algorithms for heating and cooling consumer assets across the UK, Europe, and beyond. Your work will support the commercialisation of heat flexibility in the UK and help drive the adoption of low-carbon heating in homes nationwide. What you'll do: Create building-level and fleet-level heating and cooling optimisation models Design new & novel approaches to heat and cool homes at lower energy costs Work with developers to create & deliver optimisation instructions to Octopus & third-party heat pumps, air conditioners, and associated technologies Support the rollout of heating/cooling assets into energy flexibility markets What you'll need: Experience in a relevant field like energy management, controls design, or machine learning applied to energy or complex optimisation systems A strong grasp of data science tools and platforms (SQL, Python, etc.) Solid understanding of machine learning algorithms and experience creating stochastic models Knowledge of UK and/or European energy markets, particularly energy flexibility Experience building predictive models using a range of data sources (internal and external) Familiarity with how heating systems behave and are controlled - especially air-to-water heat pumps and hot water systems A Master's degree or PhD in a quantitative field (like Data Science, Computer Science, or Statistics) is great - but equivalent experience is equally valued Why else you'll love it here: Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit! Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We won best company to work for in 2022, on Glassdoor we were voted 50 best places to work in 2022 and our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We've also been placed in the top 10 companies for senior leadership Visit our UK perks hub - Octopus Employee Benefits Our process usually takes up to 4 weeks, but we'll always do our best to flex around what works for you. Along the way, you'll chat with our recruitment team and your Recruiter will help you throughout different stages. Got any burning questions before then? Drop us a message at and we'd love to help! If this sounds like you then we'd love to hear from you. Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential.Need any specific accommodations?Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With a decade of experience, we provide over 300 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. We're always on the lookout for talented individuals whose principles and interests align with our own. While we don't have a specific vacancy open at the moment, by registering your interest for the Senior Data Scientist Talent Pool, you'll be among the first to hear about job openings in our Frontier Team that align with your experience when they go live. What you'll be doing: As a Senior Data Scientist within Frontier, you will lead the data science work on project teams that are configuring our product Frontier for our customers. Each deployment of Frontier requires a computational twin, essentially an AI-powered digital twin, to be built, and it is primarily the responsibility of our data scientists to both design and then build these computational twins. Whilst doing this well is partly about building familiarity with Frontier's development interfaces, it's mainly about doing things that are critical in any applied data science role; namely deeply understanding the core customer problem in order to ensure that the technical solution can drive value. In terms of more technical activities, the build of a computational twin involves a bunch of tasks common to all data science work such as EDA, model building, and model evaluation. In terms of other activities you'll do in the role: You'll be a leader within a cross-functional delivery team, working closely with engineers, designers, and commercial roles to deliver value to customers. Working closely with the leads of these other functions you'll ultimately be responsible for the successful delivery. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. You will play an important role in the development of other data scientists at Faculty through activity management and potentially line management of others. Who we're looking for: Senior experience in either a professional data science position or a quantitative academic field Strong python programming skills as evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focussed on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists; enthusiasm for nurturing a collaborative and dynamic culture An appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deployment Some commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audience Experience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery A product mindset, able to understand the needs of users and to learn how Frontier delivers them value What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Jul 04, 2025
Full time
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With a decade of experience, we provide over 300 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. We're always on the lookout for talented individuals whose principles and interests align with our own. While we don't have a specific vacancy open at the moment, by registering your interest for the Senior Data Scientist Talent Pool, you'll be among the first to hear about job openings in our Frontier Team that align with your experience when they go live. What you'll be doing: As a Senior Data Scientist within Frontier, you will lead the data science work on project teams that are configuring our product Frontier for our customers. Each deployment of Frontier requires a computational twin, essentially an AI-powered digital twin, to be built, and it is primarily the responsibility of our data scientists to both design and then build these computational twins. Whilst doing this well is partly about building familiarity with Frontier's development interfaces, it's mainly about doing things that are critical in any applied data science role; namely deeply understanding the core customer problem in order to ensure that the technical solution can drive value. In terms of more technical activities, the build of a computational twin involves a bunch of tasks common to all data science work such as EDA, model building, and model evaluation. In terms of other activities you'll do in the role: You'll be a leader within a cross-functional delivery team, working closely with engineers, designers, and commercial roles to deliver value to customers. Working closely with the leads of these other functions you'll ultimately be responsible for the successful delivery. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. You will play an important role in the development of other data scientists at Faculty through activity management and potentially line management of others. Who we're looking for: Senior experience in either a professional data science position or a quantitative academic field Strong python programming skills as evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focussed on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists; enthusiasm for nurturing a collaborative and dynamic culture An appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deployment Some commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audience Experience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery A product mindset, able to understand the needs of users and to learn how Frontier delivers them value What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
We're looking for an experienced and enthusiastic Data Scientist to tackle the challenge of low-carbon heating and cooling flexibility. You'll help build next-gen optimisation models and control algorithms for heating and cooling consumer assets across the UK, Europe, and beyond. Your work will support the commercialisation of heat flexibility in the UK and help drive the adoption of low-carbon heating in homes nationwide. What you'll do: Create building-level and fleet-level heating and cooling optimisation models Design new & novel approaches to heat and cool homes at lower energy costs Work with developers to create & deliver optimisation instructions to Octopus & third-party heat pumps, air conditioners, and associated technologies Support the rollout of heating/cooling assets into energy flexibility markets What you'll need: Experience in a relevant field like energy management, controls design, or machine learning applied to energy or complex optimisation systems A strong grasp of data science tools and platforms (SQL, Python, etc.) Solid understanding of machine learning algorithms and experience creating stochastic models Knowledge of UK and/or European energy markets, particularly energy flexibility Experience building predictive models using a range of data sources (internal and external) Familiarity with how heating systems behave and are controlled - especially air-to-water heat pumps and hot water systems A Master's degree or PhD in a quantitative field (like Data Science, Computer Science, or Statistics) is great - but equivalent experience is equally valued Why else you'll love it here: Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit! Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We won best company to work for in 2022, on Glassdoor we were voted 50 best places to work in 2022 and our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We've also been placed in the top 10 companies for senior leadership Visit our UK perks hub - Octopus Employee Benefits Our process usually takes up to 4 weeks, but we'll always do our best to flex around what works for you. Along the way, you'll chat with our recruitment team and your Recruiter will help you throughout different stages. Got any burning questions before then? Drop us a message at and we'd love to help! If this sounds like you then we'd love to hear from you. Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential.Need any specific accommodations?Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.
Jul 04, 2025
Full time
We're looking for an experienced and enthusiastic Data Scientist to tackle the challenge of low-carbon heating and cooling flexibility. You'll help build next-gen optimisation models and control algorithms for heating and cooling consumer assets across the UK, Europe, and beyond. Your work will support the commercialisation of heat flexibility in the UK and help drive the adoption of low-carbon heating in homes nationwide. What you'll do: Create building-level and fleet-level heating and cooling optimisation models Design new & novel approaches to heat and cool homes at lower energy costs Work with developers to create & deliver optimisation instructions to Octopus & third-party heat pumps, air conditioners, and associated technologies Support the rollout of heating/cooling assets into energy flexibility markets What you'll need: Experience in a relevant field like energy management, controls design, or machine learning applied to energy or complex optimisation systems A strong grasp of data science tools and platforms (SQL, Python, etc.) Solid understanding of machine learning algorithms and experience creating stochastic models Knowledge of UK and/or European energy markets, particularly energy flexibility Experience building predictive models using a range of data sources (internal and external) Familiarity with how heating systems behave and are controlled - especially air-to-water heat pumps and hot water systems A Master's degree or PhD in a quantitative field (like Data Science, Computer Science, or Statistics) is great - but equivalent experience is equally valued Why else you'll love it here: Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit! Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We won best company to work for in 2022, on Glassdoor we were voted 50 best places to work in 2022 and our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We've also been placed in the top 10 companies for senior leadership Visit our UK perks hub - Octopus Employee Benefits Our process usually takes up to 4 weeks, but we'll always do our best to flex around what works for you. Along the way, you'll chat with our recruitment team and your Recruiter will help you throughout different stages. Got any burning questions before then? Drop us a message at and we'd love to help! If this sounds like you then we'd love to hear from you. Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential.Need any specific accommodations?Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With a decade of experience, we provide over 300 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. We're always on the lookout for talented individuals whose principles and interests align with our own. While we don't have a specific vacancy open at the moment, by registering your interest for the Data Scientist Talent Pool, you'll be among the first to hear about job openings in our Frontier Team that align with your experience when they go live. What you'll be doing: As a Data Scientist within Frontier, you will lead the data science work on project teams that are configuring our product Frontier for our customers. Each deployment of Frontier requires a computational twin, essentially an AI-powered digital twin, to be built, and it is primarily the responsibility of our data scientists to both design and then build these computational twins. Whilst doing this well is partly about building familiarity with Frontier's development interfaces, it's mainly about doing things that are critical in any applied data science role; namely deeply understanding the core customer problem in order to ensure that the technical solution can drive value. In terms of more technical activities, the build of a computational twin involves a bunch of tasks common to all data science work such as EDA, model building, and model evaluation. In terms of other activities you'll do in the role: You'll be a leader within a cross-functional delivery team, working closely with engineers, designers, and commercial roles to deliver value to customers. Working closely with the leads of these other functions you'll ultimately be responsible for the successful delivery. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. You will play an important role in the development of other data scientists at Faculty through activity management and potentially line management of others. Who we're looking for: Experience in either a professional data science position or a quantitative academic field Strong python programming skills as evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill An appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deployment Some commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audience Experience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery A product mindset, able to understand the needs of users and to learn how Frontier delivers them value What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Jul 04, 2025
Full time
About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With a decade of experience, we provide over 300 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. We're always on the lookout for talented individuals whose principles and interests align with our own. While we don't have a specific vacancy open at the moment, by registering your interest for the Data Scientist Talent Pool, you'll be among the first to hear about job openings in our Frontier Team that align with your experience when they go live. What you'll be doing: As a Data Scientist within Frontier, you will lead the data science work on project teams that are configuring our product Frontier for our customers. Each deployment of Frontier requires a computational twin, essentially an AI-powered digital twin, to be built, and it is primarily the responsibility of our data scientists to both design and then build these computational twins. Whilst doing this well is partly about building familiarity with Frontier's development interfaces, it's mainly about doing things that are critical in any applied data science role; namely deeply understanding the core customer problem in order to ensure that the technical solution can drive value. In terms of more technical activities, the build of a computational twin involves a bunch of tasks common to all data science work such as EDA, model building, and model evaluation. In terms of other activities you'll do in the role: You'll be a leader within a cross-functional delivery team, working closely with engineers, designers, and commercial roles to deliver value to customers. Working closely with the leads of these other functions you'll ultimately be responsible for the successful delivery. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. You will play an important role in the development of other data scientists at Faculty through activity management and potentially line management of others. Who we're looking for: Experience in either a professional data science position or a quantitative academic field Strong python programming skills as evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill An appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deployment Some commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audience Experience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery A product mindset, able to understand the needs of users and to learn how Frontier delivers them value What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.
Compensation: £Competitive (Financial Services) About TradingHub Founded in 2010, we have grown from a united vision shared between two people to a team of over 140 across London, Toronto, New York and Singapore. We have achieved scale by building the best-in-class surveillance tooling, where our analytics bring the front office risk mindset to the compliance function. Though we have developed in the trade surveillance arena, we have always been more than that. At heart, we are a finance-focused big data firm. Our goal is to continue creating the world's leading financial markets analytics platform. The Role We are seeking a Quantitative Developer to help design, build, and validate the models that power our industry-leading market surveillance and analytics products. As part of our metrics division, you'll collaborate with a team of engineers and quants to create and deploy market abuse metrics and detection algorithms. The successful candidate will combine excellent mathematical skills with the proven ability to engineer high-quality software in a practical setting. Responsibilities: Development of sophisticated pattern-detection algorithms to be utilised across all of TradingHub's product offerings Research and development of broad models of market dynamics across multiple asset classes Prototyping, testing, and validation of TradingHub's proprietary mathematical/statistical models Use of in-house big data language for the large-scale pricing and analysis of security and risk data Implementation and optimisation of the core algorithms used by TradingHub to perform deep analysis of financial data Main Skills/Competencies: Proficiency with C#, C++ or Python Evidence of exceptional mathematical and analytical skills Initial industry experience working as a quant within a financial services organisation Some knowledge of risk sensitivities or "Greeks" such as Delta, Gamma, DV01 etc. Understanding of derivatives (e.g. swaps, options, futures) Confidence to experiment with new ideas and technologies Keen to work in a fast-paced environment Life at TradingHub is a rewarding journey within a fast-growing company that thrives on innovation and collaboration. By combining the best of both tech and finance, we're able to solve complex problems together and deliver meaningful results to our customers. Everybody has value to bring, and we welcome individuality as a key driving force behind our collective success. Rooted in everything that we do are our core values: Accountability, Ambition, Partnership and Trust. These provide the foundation for a sustainable workplace culture and the platform for you to harness your unique experience and become the best version of yourself. We believe in our people and invest in their growth, and together, we can sit on the right side of history. Employee Benefits: Annual discretionary performance bonus Hybrid working policy Aviva private medical insurance + Unum dental cover Extended parental leave (up to 6 months of fully paid maternity leave) 25 days annual leave + bank holidays Enhanced company pension plan Salary sacrifice scheme 5 days study leave towards professional qualifications Cycle to Work & Techscheme Death in service coverage Don't tick every single requirement? Research shows that candidates from under-represented groups are less likely to apply unless they meet all the criteria. We are dedicated to building a diverse, equitable and inclusive workplace, so if this role excites you, please don't let our specification hold you back. Get in touch! TradingHub is an equal opportunities employer. We do not discriminate based on race, religion, ethnic or national origins, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, socio-economic background, responsibilities for dependants, physical or mental disability or other applicable legally protected characteristics. TradingHub selects candidates for interview based solely on their skills, experience and qualifications. We are committed to making our recruitment process accessible to all and we encourage candidates to inform us of any required adjustments. A full copy of our diversity, equity and inclusion policy will be made available to you upon request.
Jul 04, 2025
Full time
Compensation: £Competitive (Financial Services) About TradingHub Founded in 2010, we have grown from a united vision shared between two people to a team of over 140 across London, Toronto, New York and Singapore. We have achieved scale by building the best-in-class surveillance tooling, where our analytics bring the front office risk mindset to the compliance function. Though we have developed in the trade surveillance arena, we have always been more than that. At heart, we are a finance-focused big data firm. Our goal is to continue creating the world's leading financial markets analytics platform. The Role We are seeking a Quantitative Developer to help design, build, and validate the models that power our industry-leading market surveillance and analytics products. As part of our metrics division, you'll collaborate with a team of engineers and quants to create and deploy market abuse metrics and detection algorithms. The successful candidate will combine excellent mathematical skills with the proven ability to engineer high-quality software in a practical setting. Responsibilities: Development of sophisticated pattern-detection algorithms to be utilised across all of TradingHub's product offerings Research and development of broad models of market dynamics across multiple asset classes Prototyping, testing, and validation of TradingHub's proprietary mathematical/statistical models Use of in-house big data language for the large-scale pricing and analysis of security and risk data Implementation and optimisation of the core algorithms used by TradingHub to perform deep analysis of financial data Main Skills/Competencies: Proficiency with C#, C++ or Python Evidence of exceptional mathematical and analytical skills Initial industry experience working as a quant within a financial services organisation Some knowledge of risk sensitivities or "Greeks" such as Delta, Gamma, DV01 etc. Understanding of derivatives (e.g. swaps, options, futures) Confidence to experiment with new ideas and technologies Keen to work in a fast-paced environment Life at TradingHub is a rewarding journey within a fast-growing company that thrives on innovation and collaboration. By combining the best of both tech and finance, we're able to solve complex problems together and deliver meaningful results to our customers. Everybody has value to bring, and we welcome individuality as a key driving force behind our collective success. Rooted in everything that we do are our core values: Accountability, Ambition, Partnership and Trust. These provide the foundation for a sustainable workplace culture and the platform for you to harness your unique experience and become the best version of yourself. We believe in our people and invest in their growth, and together, we can sit on the right side of history. Employee Benefits: Annual discretionary performance bonus Hybrid working policy Aviva private medical insurance + Unum dental cover Extended parental leave (up to 6 months of fully paid maternity leave) 25 days annual leave + bank holidays Enhanced company pension plan Salary sacrifice scheme 5 days study leave towards professional qualifications Cycle to Work & Techscheme Death in service coverage Don't tick every single requirement? Research shows that candidates from under-represented groups are less likely to apply unless they meet all the criteria. We are dedicated to building a diverse, equitable and inclusive workplace, so if this role excites you, please don't let our specification hold you back. Get in touch! TradingHub is an equal opportunities employer. We do not discriminate based on race, religion, ethnic or national origins, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, socio-economic background, responsibilities for dependants, physical or mental disability or other applicable legally protected characteristics. TradingHub selects candidates for interview based solely on their skills, experience and qualifications. We are committed to making our recruitment process accessible to all and we encourage candidates to inform us of any required adjustments. A full copy of our diversity, equity and inclusion policy will be made available to you upon request.
Flowdesk is rapidly growing and looking for new talents! Founded in 2020, Flowdesk is a regulated, full-service digital asset trading and technology firm that specializes in market making, OTC and treasury management services. We have engineered a trading infrastructure that integrates more than 120 centralized and decentralized exchanges. Combining proprietary technology with significant experience from traditional markets and algorithmic trading, Flowdesk brings control and transparency to digital asset markets. Flowdesk has offices in France, Singapore, the U.S. and the U.K. Job Description Are you looking for an exciting opportunity to join a newly formed quant trading team at an innovative and exciting crypto trading firm? By joining us as a Quant Developer, you will have an opportunity to play a pivotal part in the buildout and scale-up of our new HFT platform built in Rust. Your mission will be to work on (and not limited to): Develop trading algorithms: Create and improve algorithms for trading, including those for low-latency, high-frequency trading. Build front-office systems: Create systems for algorithmic trading, including data, risk, live trading, and post-trade. Integrate with DeFi venues: Onboard real-time data feeds from DeFi protocols. Backtest models: Test models on historical data to assess their feasibility and make improvements. Implement risk management: Include stop-loss mechanisms, capital allocation limits, and other risk management criteria. Monitor systems: Monitor systems in real time and debug issues. For further background, Flowdesk is a technology and crypto financial services firm founded in 2020, operating globally and serving a wide range of clients across the globe. Flowdesk's ambition is to become one of the major technology providers in the space while operating in a fully compliant and efficient manner. The newly formed team in question is led by an industry-known HFT expert with experience building some of the most profitable trading desks within the space. Location is either remote; or hybrid if you are based in London, Paris or Singapore. Requirements Very high level of raw programming talent. 2+ years coding HFT systems/Trading system development. Solid understanding of how order books, order state machines, etc. work. Rust programming skills (can accept primarily C/C++ experience if they have at least used Rust before. All interviews and job tasks will be in Rust). Familiarity with Crypto markets would be beneficial. Skills and personality Curious and autonomous. Highly motivated and results-driven. Strong maths and analytical skills. Ability to successfully manage multiple tasks in a fast-paced collaborative environment. Professional proficiency in English. International environment (English is the main language). Benefits 100% health coverage. Top-of-the-range equipment: Macbook, keyboard, laptop stand, 4K monitor & headphones. Team events and offsites. Coming soon: gym memberships, international mobility & many other cool benefits! Recruitment process Are you interested in this job but feel you haven't ticked all the boxes? Don't hesitate to apply and tell us in the cover letter section why we should meet! Here's what you can expect if you apply: HR interview (30') Technical interview (30') Take home assignment + Live coding session (60') Chat with the Head of People (30') and the Head of Department (30') On the agenda, discussions rather than trick questions! These moments of exchange will allow you to understand how Flowdesk works and its values. But they are also (and above all) an opportunity for you to present your career path and your expectations for your next job!
Jul 04, 2025
Full time
Flowdesk is rapidly growing and looking for new talents! Founded in 2020, Flowdesk is a regulated, full-service digital asset trading and technology firm that specializes in market making, OTC and treasury management services. We have engineered a trading infrastructure that integrates more than 120 centralized and decentralized exchanges. Combining proprietary technology with significant experience from traditional markets and algorithmic trading, Flowdesk brings control and transparency to digital asset markets. Flowdesk has offices in France, Singapore, the U.S. and the U.K. Job Description Are you looking for an exciting opportunity to join a newly formed quant trading team at an innovative and exciting crypto trading firm? By joining us as a Quant Developer, you will have an opportunity to play a pivotal part in the buildout and scale-up of our new HFT platform built in Rust. Your mission will be to work on (and not limited to): Develop trading algorithms: Create and improve algorithms for trading, including those for low-latency, high-frequency trading. Build front-office systems: Create systems for algorithmic trading, including data, risk, live trading, and post-trade. Integrate with DeFi venues: Onboard real-time data feeds from DeFi protocols. Backtest models: Test models on historical data to assess their feasibility and make improvements. Implement risk management: Include stop-loss mechanisms, capital allocation limits, and other risk management criteria. Monitor systems: Monitor systems in real time and debug issues. For further background, Flowdesk is a technology and crypto financial services firm founded in 2020, operating globally and serving a wide range of clients across the globe. Flowdesk's ambition is to become one of the major technology providers in the space while operating in a fully compliant and efficient manner. The newly formed team in question is led by an industry-known HFT expert with experience building some of the most profitable trading desks within the space. Location is either remote; or hybrid if you are based in London, Paris or Singapore. Requirements Very high level of raw programming talent. 2+ years coding HFT systems/Trading system development. Solid understanding of how order books, order state machines, etc. work. Rust programming skills (can accept primarily C/C++ experience if they have at least used Rust before. All interviews and job tasks will be in Rust). Familiarity with Crypto markets would be beneficial. Skills and personality Curious and autonomous. Highly motivated and results-driven. Strong maths and analytical skills. Ability to successfully manage multiple tasks in a fast-paced collaborative environment. Professional proficiency in English. International environment (English is the main language). Benefits 100% health coverage. Top-of-the-range equipment: Macbook, keyboard, laptop stand, 4K monitor & headphones. Team events and offsites. Coming soon: gym memberships, international mobility & many other cool benefits! Recruitment process Are you interested in this job but feel you haven't ticked all the boxes? Don't hesitate to apply and tell us in the cover letter section why we should meet! Here's what you can expect if you apply: HR interview (30') Technical interview (30') Take home assignment + Live coding session (60') Chat with the Head of People (30') and the Head of Department (30') On the agenda, discussions rather than trick questions! These moments of exchange will allow you to understand how Flowdesk works and its values. But they are also (and above all) an opportunity for you to present your career path and your expectations for your next job!
We're so much more than an energy company. We're a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that's energising a greener, fairer future by creating an energy system that doesn't rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That's why working here is . We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it. About the role: The Quantitative Analytics team at Centrica Energy is part of the Trading Analytics and Algorithms centre of excellence, and is responsible for: Delivering quantitative analysis of complex and structured products, that provides insight to help traders to maximise value and manage risk Designing and implementing complex mathematical models that allow for consistent pricing and joint risk quantification across multiple portfolios, enabling more holistic and optimal hedging decisions Assisting originators in development of structured products across the Renewables, LNG, Gas & Power sectors. As a Quantitative Developer you will become part of an agile team of circa 10 people located across our offices in both London (UK) and Aalborg (Denmark), with a broad remit to support the development, and use of, our pricing and risk management models and systems. This role will be situated in the London office and the successful candidate will be required to: Produce high quality increments to the team's model library - working both individually and collaboratively Provide support to Trading & Origination on model usage and behaviour Leverage the teams cross-asset expertise to connect business locations, helping to identify synergies and increase efficiency. What we're looking for: Master's Degree or PhD qualification within science, computing, mathematics or other quantitative subject Experience of code development in Python, including knowledge of Object Orientation, Software Architecture and Design Patterns Familiarity with mathematical and statistical models used in finance, particularly with regards to derivatives pricing and risk management systems Familiarity or high level of interest in Energy / commodity markets Strong Communicator and fluent in English language Strong interpersonal skills. Why should you apply? We're not a perfect place - but we're a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That's why we've designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we're a great place to work and what being part of more means for you. If you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority. Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey. We are Centrica We're a family of brands revolutionising how we power the planet. When it comes to energy, no one does it like us. We make it, store it, move it, sell it and mend it. We're made up of 12 different businesses, but united by our purpose as Centrica. We're energisers. Our journey to a greener, fairer future is powered by individuals like you. We're powered by purpose Through innovative green products, intelligent energy solutions and developing smarter ways to use and save energy, we're not just part of the energy transition, we're leading it. Our commitment goes beyond sustainability. Together we're bringing our collective energies to create positive change in our local communities. If you immerse yourself in our fight to change tomorrow, you might just find your why. We're looking for people to add to our culture - not fit in with it. We're building a community where you can be unapologetically you, where differences are celebrated, and where everyone can belong. Real inclusivity also means supporting the different realities our people face. That's why we have the UK's best Carers Policy and are continually building our approach to flexibility and wellbeing. Of course, we love having fun too. We're a people place after all.
Jul 04, 2025
Full time
We're so much more than an energy company. We're a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that's energising a greener, fairer future by creating an energy system that doesn't rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That's why working here is . We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it. About the role: The Quantitative Analytics team at Centrica Energy is part of the Trading Analytics and Algorithms centre of excellence, and is responsible for: Delivering quantitative analysis of complex and structured products, that provides insight to help traders to maximise value and manage risk Designing and implementing complex mathematical models that allow for consistent pricing and joint risk quantification across multiple portfolios, enabling more holistic and optimal hedging decisions Assisting originators in development of structured products across the Renewables, LNG, Gas & Power sectors. As a Quantitative Developer you will become part of an agile team of circa 10 people located across our offices in both London (UK) and Aalborg (Denmark), with a broad remit to support the development, and use of, our pricing and risk management models and systems. This role will be situated in the London office and the successful candidate will be required to: Produce high quality increments to the team's model library - working both individually and collaboratively Provide support to Trading & Origination on model usage and behaviour Leverage the teams cross-asset expertise to connect business locations, helping to identify synergies and increase efficiency. What we're looking for: Master's Degree or PhD qualification within science, computing, mathematics or other quantitative subject Experience of code development in Python, including knowledge of Object Orientation, Software Architecture and Design Patterns Familiarity with mathematical and statistical models used in finance, particularly with regards to derivatives pricing and risk management systems Familiarity or high level of interest in Energy / commodity markets Strong Communicator and fluent in English language Strong interpersonal skills. Why should you apply? We're not a perfect place - but we're a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That's why we've designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we're a great place to work and what being part of more means for you. If you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority. Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey. We are Centrica We're a family of brands revolutionising how we power the planet. When it comes to energy, no one does it like us. We make it, store it, move it, sell it and mend it. We're made up of 12 different businesses, but united by our purpose as Centrica. We're energisers. Our journey to a greener, fairer future is powered by individuals like you. We're powered by purpose Through innovative green products, intelligent energy solutions and developing smarter ways to use and save energy, we're not just part of the energy transition, we're leading it. Our commitment goes beyond sustainability. Together we're bringing our collective energies to create positive change in our local communities. If you immerse yourself in our fight to change tomorrow, you might just find your why. We're looking for people to add to our culture - not fit in with it. We're building a community where you can be unapologetically you, where differences are celebrated, and where everyone can belong. Real inclusivity also means supporting the different realities our people face. That's why we have the UK's best Carers Policy and are continually building our approach to flexibility and wellbeing. Of course, we love having fun too. We're a people place after all.
Please note this is for London, UK. You only need toapply to one location if there are multiple listed for the job. Apply Now At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: We are looking for a Senior Software Engineer passionate about solving ambitious problems and working directly with Ripple Trading and Markets in the cross-border payments space. We are passionate about the growth of our engineers and place a premium on career development. You will have a high degree of accountability and responsibility from Day 1. You will be an integral part of the Ripple Trading and Markets Team, building scalable, resilient and performant trading systems in a constantly evolving and fast paced environment. You will have real impact and have the opportunity to drive the architectural roadmap, whilst looking to optimise away manual inefficiencies. The team has helped develop a number of modular building blocks Low-latency Algorithms for Automated Trading and Systematic Market Making Real-time streaming pipelines and signals Pricing libraries and tooling Venue connectivity for automated fund movement and management. By the end of 2025 where we want to be Further evolution of the Algo suite, refining the signal processing and breadth of trading strategies and products. Building towards an event-driven architecture to connect the logical building blocks and provide integrated communication between trading systems and to other partners. Continuing to support and complement Ripple's Payments, Custody and Stablecoin business units WHAT YOU'LL DO: Research, design, and backtest systematic trading strategies and alpha signals across multiple asset classes, ensuring statistical rigor. Develop and optimize execution algorithms (e.g., VWAP, TWAP, Participation) and Smart Order Routing (SOR) logic to minimize market impact. Contribute to the evolution of trading infrastructure, including Execution and Order Management Systems (EMS/OMS), and maintain high-performance codebases. Monitor real-time system performance, execution quality, P&L, and risk, proactively addressing issues and making strategy adjustments. Perform post-trade analytics, including TCA, to continuously improve trading efficiency and execution outcomes. Manage the full lifecycle of trading systems-from data acquisition and cleaning to deployment and production support. Collaborate with researchers, engineers, and stakeholders across the business to align technical design with trading objectives. Drive engineering excellence through clean code, automated testing, operational rigor, and mentorship of junior team members. WHAT YOU'LL BRING: 5+ years of software development experience in quantitative trading, with deep expertise in Java and/or Python. Proficient in Python's data science ecosystem (Pandas, NumPy, Scikit-learn), with strong debugging and analytical skills. Proven track record implementing trading algorithms and working with distributed systems in fast-paced front-office environments. Experience building transactional systems with modern databases (Aurora, DynamoDB) and deploying services via Kubernetes or Nomad. Solid understanding of agile software development, automated testing, and secure, scalable architecture design. Exposure to FX and/or crypto markets; front-end experience with frameworks like React is a plus. Passion for clean, testable code, continuous learning, and mentoring peers on engineering best practices. Degree in Computer Science or related field, with a strong focus on problem-solving and simplicity in design. Other common names for this role: Quant Developer, Algo Developer WHO WE ARE: Do Your Best Work The opportunity to build in a fast-paced start-up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry-leading parental leave policies. Family planning benefits. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
Jul 04, 2025
Full time
Please note this is for London, UK. You only need toapply to one location if there are multiple listed for the job. Apply Now At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: We are looking for a Senior Software Engineer passionate about solving ambitious problems and working directly with Ripple Trading and Markets in the cross-border payments space. We are passionate about the growth of our engineers and place a premium on career development. You will have a high degree of accountability and responsibility from Day 1. You will be an integral part of the Ripple Trading and Markets Team, building scalable, resilient and performant trading systems in a constantly evolving and fast paced environment. You will have real impact and have the opportunity to drive the architectural roadmap, whilst looking to optimise away manual inefficiencies. The team has helped develop a number of modular building blocks Low-latency Algorithms for Automated Trading and Systematic Market Making Real-time streaming pipelines and signals Pricing libraries and tooling Venue connectivity for automated fund movement and management. By the end of 2025 where we want to be Further evolution of the Algo suite, refining the signal processing and breadth of trading strategies and products. Building towards an event-driven architecture to connect the logical building blocks and provide integrated communication between trading systems and to other partners. Continuing to support and complement Ripple's Payments, Custody and Stablecoin business units WHAT YOU'LL DO: Research, design, and backtest systematic trading strategies and alpha signals across multiple asset classes, ensuring statistical rigor. Develop and optimize execution algorithms (e.g., VWAP, TWAP, Participation) and Smart Order Routing (SOR) logic to minimize market impact. Contribute to the evolution of trading infrastructure, including Execution and Order Management Systems (EMS/OMS), and maintain high-performance codebases. Monitor real-time system performance, execution quality, P&L, and risk, proactively addressing issues and making strategy adjustments. Perform post-trade analytics, including TCA, to continuously improve trading efficiency and execution outcomes. Manage the full lifecycle of trading systems-from data acquisition and cleaning to deployment and production support. Collaborate with researchers, engineers, and stakeholders across the business to align technical design with trading objectives. Drive engineering excellence through clean code, automated testing, operational rigor, and mentorship of junior team members. WHAT YOU'LL BRING: 5+ years of software development experience in quantitative trading, with deep expertise in Java and/or Python. Proficient in Python's data science ecosystem (Pandas, NumPy, Scikit-learn), with strong debugging and analytical skills. Proven track record implementing trading algorithms and working with distributed systems in fast-paced front-office environments. Experience building transactional systems with modern databases (Aurora, DynamoDB) and deploying services via Kubernetes or Nomad. Solid understanding of agile software development, automated testing, and secure, scalable architecture design. Exposure to FX and/or crypto markets; front-end experience with frameworks like React is a plus. Passion for clean, testable code, continuous learning, and mentoring peers on engineering best practices. Degree in Computer Science or related field, with a strong focus on problem-solving and simplicity in design. Other common names for this role: Quant Developer, Algo Developer WHO WE ARE: Do Your Best Work The opportunity to build in a fast-paced start-up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry-leading parental leave policies. Family planning benefits. Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
Quantitative Research - Athena Analytics Developer - Associate or Vice President LONDON, LONDON, United Kingdom Job Identification Job Category Data Management Business Unit Commercial & Investment Bank Posting Date 05/28/2025, 09:21 AM Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Description Quantitative Researchers (QR) are key part of JP Morgan's markets business, developing and maintaining sophisticated mathematical models, cutting-edge methodologies and infrastructure to value and risk manage financial transactions. We develop these inAthena, which is a next generation risk, pricing, and trade management platform built in-house at JP Morgan. Job summary: As an Associate or Vice Presidentwithin Quantitative Research Athena and Analytics team, you will be focusing on cross asset topics ranging from pricing library and market model design, risk frameworks, UI design to high performance computing. Athena is designed to enable rapid innovation on the desk by offering Quantitative Analysts, Risk Managers and Technologists a consistent, cross-asset portfolio of models, frameworks and tools to use in building financial applications. The power of the Athena platform derives from several key technical innovations: a powerful Dependency Graph implementation, a ubiquitous data store called Hydra, a Real-Time Risk Reporting framework, a robust Deal Model, and a forward propagating, event-driven graph called Reactive. Job responsibilities: Developing Athena (Python) analytics software that is used to price and risk manage financial products Designing efficient, scalable and usable cross asset frameworks with the aim of establishing golden standards across all QR streams Optimizing code and business processes, providing expert guidance to desk-aligned quant teams in using frameworks Support of end users of the frameworks, communicating with desk-aligned quant teams and technology groups. Required qualifications, capabilities, and skills: You have a degree in a quantitative field, e.g. computer science, mathematics, engineering, physics You have excellent software and algorithm design and development skills You are passionate about software design and writing high quality code You demonstrate experience working in pricing libraries and risk management systems You have a good understanding of trade life cycle, MTM, PnL and other processes that govern day to day business operations You have excellent oral and written communication skills Preferred qualifications, capabilities, and skills: You have a knowledge of finance or quantitative finance You have experience writing high quality Python About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Jul 03, 2025
Full time
Quantitative Research - Athena Analytics Developer - Associate or Vice President LONDON, LONDON, United Kingdom Job Identification Job Category Data Management Business Unit Commercial & Investment Bank Posting Date 05/28/2025, 09:21 AM Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Description Quantitative Researchers (QR) are key part of JP Morgan's markets business, developing and maintaining sophisticated mathematical models, cutting-edge methodologies and infrastructure to value and risk manage financial transactions. We develop these inAthena, which is a next generation risk, pricing, and trade management platform built in-house at JP Morgan. Job summary: As an Associate or Vice Presidentwithin Quantitative Research Athena and Analytics team, you will be focusing on cross asset topics ranging from pricing library and market model design, risk frameworks, UI design to high performance computing. Athena is designed to enable rapid innovation on the desk by offering Quantitative Analysts, Risk Managers and Technologists a consistent, cross-asset portfolio of models, frameworks and tools to use in building financial applications. The power of the Athena platform derives from several key technical innovations: a powerful Dependency Graph implementation, a ubiquitous data store called Hydra, a Real-Time Risk Reporting framework, a robust Deal Model, and a forward propagating, event-driven graph called Reactive. Job responsibilities: Developing Athena (Python) analytics software that is used to price and risk manage financial products Designing efficient, scalable and usable cross asset frameworks with the aim of establishing golden standards across all QR streams Optimizing code and business processes, providing expert guidance to desk-aligned quant teams in using frameworks Support of end users of the frameworks, communicating with desk-aligned quant teams and technology groups. Required qualifications, capabilities, and skills: You have a degree in a quantitative field, e.g. computer science, mathematics, engineering, physics You have excellent software and algorithm design and development skills You are passionate about software design and writing high quality code You demonstrate experience working in pricing libraries and risk management systems You have a good understanding of trade life cycle, MTM, PnL and other processes that govern day to day business operations You have excellent oral and written communication skills Preferred qualifications, capabilities, and skills: You have a knowledge of finance or quantitative finance You have experience writing high quality Python About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
CMC Markets are looking for a Quantitative developer to join our Quants' team. Within the role, you will work directly with Quantitative Developers as well as our Trading function within the Derivatives pillar. You will participate in the integration of our partner's solutions into our infrastructure and support the desk in the development of internal and proprietary services. This is an excellent opportunity to get to the heart of the business and develop an in-depth understanding of the Market Making industry. ROLE AND RESPONSIBILITIES Maintain and improve the existing code stack and develop new scripts if required. Ensure appropriate monitoring is in place for all business-as-usual processes owned by the Derivatives Quantitative team. Analysis, specification, implementation, maintenance, and development of tests. Document and maintain software functionality. Understand current models and produce innovative improvements. Facilitate the integration of third-party solutions with our existing infrastructure. Adapt to the team's working hours to ensure sufficient coverage over the quoting period (early, mid, or late shifts). Help design and develop pricing and risk components to support the firm's market-making business, working across multiple asset classes ranging across Options, Equities, FX, Commodities, and other derivatives. Partner with other key groups: financial engineering and quantitative teams from other business units, business operations, product development, and the other IT teams; to ensure products are implemented efficiently and meet the demands both internally (dealing) and externally (clients) and addressing any issues that arise. Work with the Front Office users and Business Operations to address any issues. Maintain personal/professional development to meet the changing demands of the role, including all relevant regulatory and legislative training. Understand the nature of the trading floor business and the need to respond quickly and efficiently to issues that can or have caused business outage. Creation of maintenance and reporting tools relevant to the product area as appropriate. Ensure a positive approach to challenge and provide open and honest feedback. Occasional requirement to work during the weekend for a product release or maintenance. When dealing with all customers, clients, or colleagues ensure that we provide a clear, fair, and consistent high-quality service that presents a professional and positive image of CMC Markets. Take all reasonable steps to ensure appropriate confidentiality. Undertake such other duties, training, and/or hours of work as may be reasonably required, and which are consistent with the general level of responsibility of this role. KEY SKILLS & EXPERIENCE A degree in quantitative finance, mathematics, computer science, or equivalent disciplines. Strong analytical and quantitative skills. Good understanding of general financial products and derivatives. Experience of coding in Object Oriented development languages, mainly in Python. Strong communication skills, both written and spoken. The ability to operate with urgency and prioritise work accordingly. Strong requirements analysis skills. Strong Team Player. Takes personal responsibility to deliver results. CMC Markets is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.
Jul 03, 2025
Full time
CMC Markets are looking for a Quantitative developer to join our Quants' team. Within the role, you will work directly with Quantitative Developers as well as our Trading function within the Derivatives pillar. You will participate in the integration of our partner's solutions into our infrastructure and support the desk in the development of internal and proprietary services. This is an excellent opportunity to get to the heart of the business and develop an in-depth understanding of the Market Making industry. ROLE AND RESPONSIBILITIES Maintain and improve the existing code stack and develop new scripts if required. Ensure appropriate monitoring is in place for all business-as-usual processes owned by the Derivatives Quantitative team. Analysis, specification, implementation, maintenance, and development of tests. Document and maintain software functionality. Understand current models and produce innovative improvements. Facilitate the integration of third-party solutions with our existing infrastructure. Adapt to the team's working hours to ensure sufficient coverage over the quoting period (early, mid, or late shifts). Help design and develop pricing and risk components to support the firm's market-making business, working across multiple asset classes ranging across Options, Equities, FX, Commodities, and other derivatives. Partner with other key groups: financial engineering and quantitative teams from other business units, business operations, product development, and the other IT teams; to ensure products are implemented efficiently and meet the demands both internally (dealing) and externally (clients) and addressing any issues that arise. Work with the Front Office users and Business Operations to address any issues. Maintain personal/professional development to meet the changing demands of the role, including all relevant regulatory and legislative training. Understand the nature of the trading floor business and the need to respond quickly and efficiently to issues that can or have caused business outage. Creation of maintenance and reporting tools relevant to the product area as appropriate. Ensure a positive approach to challenge and provide open and honest feedback. Occasional requirement to work during the weekend for a product release or maintenance. When dealing with all customers, clients, or colleagues ensure that we provide a clear, fair, and consistent high-quality service that presents a professional and positive image of CMC Markets. Take all reasonable steps to ensure appropriate confidentiality. Undertake such other duties, training, and/or hours of work as may be reasonably required, and which are consistent with the general level of responsibility of this role. KEY SKILLS & EXPERIENCE A degree in quantitative finance, mathematics, computer science, or equivalent disciplines. Strong analytical and quantitative skills. Good understanding of general financial products and derivatives. Experience of coding in Object Oriented development languages, mainly in Python. Strong communication skills, both written and spoken. The ability to operate with urgency and prioritise work accordingly. Strong requirements analysis skills. Strong Team Player. Takes personal responsibility to deliver results. CMC Markets is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT: Your role involves providing daily trading insights to multiple activities and asset classes within QRT. You will work with analysts, quants and other quantitative developers to build robust reporting and analytical tools, thus providing constant feedback on investment strategy performance to a few hundred researchers. Given the dynamic nature of the business, you will continually seek solutions that are both flexible and robust and which integrate seamlessly into the QRT technology landscape. Take ownership of production processes to ensure constant alignment with business objectives. Continually expand and upgrade the software infrastructure to accommodate the changing business needs. Adopt a systematic approach to all problem solving, allowing the firm to scale out. Minimum Requirements: A minimum of 3 years of experience as a software engineer. C# and Python Language Experience. Experience with React / MUI / AG-Grid / ECharts. Comfortable with SQL. Ability to multitask and work in a team. Excellent communication skills and team player. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Jul 03, 2025
Full time
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT: Your role involves providing daily trading insights to multiple activities and asset classes within QRT. You will work with analysts, quants and other quantitative developers to build robust reporting and analytical tools, thus providing constant feedback on investment strategy performance to a few hundred researchers. Given the dynamic nature of the business, you will continually seek solutions that are both flexible and robust and which integrate seamlessly into the QRT technology landscape. Take ownership of production processes to ensure constant alignment with business objectives. Continually expand and upgrade the software infrastructure to accommodate the changing business needs. Adopt a systematic approach to all problem solving, allowing the firm to scale out. Minimum Requirements: A minimum of 3 years of experience as a software engineer. C# and Python Language Experience. Experience with React / MUI / AG-Grid / ECharts. Comfortable with SQL. Ability to multitask and work in a team. Excellent communication skills and team player. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Excellent opportunity for a passionate Quantitative Analyst to join an excellent client's team based in central London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial but not essential. This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment. Previous experience within the sports trading industry would be beneficial. Skills required: Proficient in several of the following: Python, C#, C++, Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial Specific sports trading knowledge is beneficial but not essential If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Jul 02, 2025
Full time
Excellent opportunity for a passionate Quantitative Analyst to join an excellent client's team based in central London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial but not essential. This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment. Previous experience within the sports trading industry would be beneficial. Skills required: Proficient in several of the following: Python, C#, C++, Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial Specific sports trading knowledge is beneficial but not essential If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Hall & Partners is a team of unconventional thinkers, obsessed with how marketing influences the relationship between people, brands and culture. Born out of ad land, we are the insight agency known for weaving creativity with science. We distil data through a strategic lens to reveal 'uncommon insights' - human truths tailored to individual brands, not black box data available to the masses. We partner with clients to shape brand strategy and optimise brand and campaign performance. Our award-winning approach amplifies insights across every business area, propelling marketing decision-making to create an unmatched competitive advantage. We do this for an eclectic group mix of brands, including 29 of Interbrand's Top 50 Best Brands and 16 of the top 20 biopharmaceutical companies. Hall & Partners is an uncommon insight agency that specialises in brand strategy, brand performance measurement, and campaign performance research. Core Responsibilities There are five core capability areas that a Strategy Director at H&P delivers on: Client Builder - Building valuable relationships with clients. Business Developer - Driving business growth with commercial acumen. Expert in Craft - Doing the day job brilliantly. Team Player - Giving and getting the best from the team. Role Model - Embodying H&P Values to build meaning for our clients and people. The Hall & Partner values are all about being Creative, Curious, Courageous and Collaborative, all grounded in a strong Community. We expect all our people to demonstrate and work by these values every day. Key Attributes Experience leading quantitative research projects autonomously (6+ years), with prior experience as a line manager (2-3 years). Proven management skills. Able to lead and prioritise to deliver outstanding quality on time and coach a team to do so. Strong presentation and storytelling skills. Highly motivated and driven, with a hunger to win and grow our business. Expert critical thinking skills and ability to solve problems. Able to travel occasionally as the job requires. What We Offer You We believe we have a unique culture. It's a difficult thing to put into words but it's all about being challenging yet treating each other with respect. We are naturally curious, and we love to learn and discover new things. We nurture opinions and really respect people who have a point of view and aren't afraid to share their thinking. We work as teams and responsibilities sit with everyone in that team, whatever their job title. A can-do attitude goes a long way in our business, and we don't tolerate egos! We are passionate about helping our people to learn, stretch and grow. We want this to be a place where people feel challenged, as well as guided and supported. When you are not learning from some of the smartest people in insight, you can also take advantage of our Learn training program and attend interactive training sessions and "OutsideIn" sessions with industry experts, that build your skills for the future. Equal Opportunity Employer Hall & Partners is an equal opportunity employer and recognises the importance of a truly diverse workforce. Our teams possess a rich mixture of talent where everyone's contribution is encouraged and valued. We maintain an Equal Opportunities, Diversity and Anti-Harassment Policy to inform, guide and encourage equal opportunities practices within the Company. We welcome applications from individuals regardless of age, gender, ethnicity, disability, sexuality, social background, religion and/or belief.
Jul 02, 2025
Full time
Hall & Partners is a team of unconventional thinkers, obsessed with how marketing influences the relationship between people, brands and culture. Born out of ad land, we are the insight agency known for weaving creativity with science. We distil data through a strategic lens to reveal 'uncommon insights' - human truths tailored to individual brands, not black box data available to the masses. We partner with clients to shape brand strategy and optimise brand and campaign performance. Our award-winning approach amplifies insights across every business area, propelling marketing decision-making to create an unmatched competitive advantage. We do this for an eclectic group mix of brands, including 29 of Interbrand's Top 50 Best Brands and 16 of the top 20 biopharmaceutical companies. Hall & Partners is an uncommon insight agency that specialises in brand strategy, brand performance measurement, and campaign performance research. Core Responsibilities There are five core capability areas that a Strategy Director at H&P delivers on: Client Builder - Building valuable relationships with clients. Business Developer - Driving business growth with commercial acumen. Expert in Craft - Doing the day job brilliantly. Team Player - Giving and getting the best from the team. Role Model - Embodying H&P Values to build meaning for our clients and people. The Hall & Partner values are all about being Creative, Curious, Courageous and Collaborative, all grounded in a strong Community. We expect all our people to demonstrate and work by these values every day. Key Attributes Experience leading quantitative research projects autonomously (6+ years), with prior experience as a line manager (2-3 years). Proven management skills. Able to lead and prioritise to deliver outstanding quality on time and coach a team to do so. Strong presentation and storytelling skills. Highly motivated and driven, with a hunger to win and grow our business. Expert critical thinking skills and ability to solve problems. Able to travel occasionally as the job requires. What We Offer You We believe we have a unique culture. It's a difficult thing to put into words but it's all about being challenging yet treating each other with respect. We are naturally curious, and we love to learn and discover new things. We nurture opinions and really respect people who have a point of view and aren't afraid to share their thinking. We work as teams and responsibilities sit with everyone in that team, whatever their job title. A can-do attitude goes a long way in our business, and we don't tolerate egos! We are passionate about helping our people to learn, stretch and grow. We want this to be a place where people feel challenged, as well as guided and supported. When you are not learning from some of the smartest people in insight, you can also take advantage of our Learn training program and attend interactive training sessions and "OutsideIn" sessions with industry experts, that build your skills for the future. Equal Opportunity Employer Hall & Partners is an equal opportunity employer and recognises the importance of a truly diverse workforce. Our teams possess a rich mixture of talent where everyone's contribution is encouraged and valued. We maintain an Equal Opportunities, Diversity and Anti-Harassment Policy to inform, guide and encourage equal opportunities practices within the Company. We welcome applications from individuals regardless of age, gender, ethnicity, disability, sexuality, social background, religion and/or belief.
