Python Data Engineer - Multi-Strategy Hedge Fund Location: London Hybrid: 2 days per week on-site Type: Full-time About the Role A leading multi-strategy hedge fund is seeking a highly skilled Python Data Engineer to join its technology and data team. This is a hands-on role focused on building and optimising data infrastructure that powers quantitative research, trading strategies, and risk management. Key Responsibilities Develop and maintain scalable Python-based ETL pipelines for ingesting and transforming market data from multiple sources. Design and manage cloud-based data lake solutions (AWS, Databricks) for large volumes of structured and unstructured data. Implement rigorous data quality, validation, and cleansing routines to ensure accuracy of financial time-series data. Optimize workflows for low latency and high throughput, critical for trading and research. Collaborate with portfolio managers, quantitative researchers, and traders to deliver tailored data solutions for modeling and strategy development. Contribute to the design and implementation of the firm's security master database. Analyse datasets to extract actionable insights for trading and risk management. Document system architecture, data flows, and technical processes for transparency and reproducibility. Requirements Strong proficiency in Python (pandas, NumPy, PySpark) and ETL development. Hands-on experience with AWS services (S3, Glue, Lambda) and Databricks. Solid understanding of financial market data, particularly time-series. Knowledge of data quality frameworks and performance optimisation techniques. Degree in Computer Science, Engineering, or related field. Preferred Skills SQL and relational database design experience. Exposure to quantitative finance or trading environments. Familiarity with containerisation and orchestration (Docker, Kubernetes). What We Offer Competitive compensation and performance-based bonus. Hybrid working model: 2 days per week on-site in London. Opportunity to work on mission-critical data systems for a global hedge fund. Collaborative, high-performance culture with direct exposure to front-office teams To Avoid Disappointment, Apply Now! To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
Jan 03, 2026
Full time
Python Data Engineer - Multi-Strategy Hedge Fund Location: London Hybrid: 2 days per week on-site Type: Full-time About the Role A leading multi-strategy hedge fund is seeking a highly skilled Python Data Engineer to join its technology and data team. This is a hands-on role focused on building and optimising data infrastructure that powers quantitative research, trading strategies, and risk management. Key Responsibilities Develop and maintain scalable Python-based ETL pipelines for ingesting and transforming market data from multiple sources. Design and manage cloud-based data lake solutions (AWS, Databricks) for large volumes of structured and unstructured data. Implement rigorous data quality, validation, and cleansing routines to ensure accuracy of financial time-series data. Optimize workflows for low latency and high throughput, critical for trading and research. Collaborate with portfolio managers, quantitative researchers, and traders to deliver tailored data solutions for modeling and strategy development. Contribute to the design and implementation of the firm's security master database. Analyse datasets to extract actionable insights for trading and risk management. Document system architecture, data flows, and technical processes for transparency and reproducibility. Requirements Strong proficiency in Python (pandas, NumPy, PySpark) and ETL development. Hands-on experience with AWS services (S3, Glue, Lambda) and Databricks. Solid understanding of financial market data, particularly time-series. Knowledge of data quality frameworks and performance optimisation techniques. Degree in Computer Science, Engineering, or related field. Preferred Skills SQL and relational database design experience. Exposure to quantitative finance or trading environments. Familiarity with containerisation and orchestration (Docker, Kubernetes). What We Offer Competitive compensation and performance-based bonus. Hybrid working model: 2 days per week on-site in London. Opportunity to work on mission-critical data systems for a global hedge fund. Collaborative, high-performance culture with direct exposure to front-office teams To Avoid Disappointment, Apply Now! To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
About Freetrade Freetrade's mission is to become the default place to invest. Investing has been too complicated and expensive for too long, keeping millions from making the most of their savings. We're changing that. We're building our team and looking for people who are excited to reshape how our customers invest and grow their wealth. If you're driven by solving complex problems and building innovative products, you'll fit right in. 2025 is a big year for us. In January, we announced a game changing deal to become part of the IG Group. We'll continue to operate as an independent business while gaining access to the resources and support of an established leader in the space. This year, we're accelerating our roadmap and taking our products to the next level. We're building new features like mutual funds, bonds, and family investment tools. We're also exploring how we can leverage AI to deliver an even better experience for our customers. About the role This role would help shape the user research function at Freetrade by aligning behavioural understanding and customer insights into our Product strategy and decision-making. You will Lead end-to-end qualitative and mixed-method research projects, including interviews, moderated sessions, concept testing and usability studies Shape discovery work with Product and Design, helping teams define the right questions and approach Conduct light quantitative work that supports qualitative findings, such as simple evaluative surveys Synthesise behavioural insights into clear, actionable recommendations that influence product direction Develop and maintain research standards, frameworks and ways of working for the wider team Collaborate with Product, Design, Marketing and Data to ensure research is well-scoped and aligned with business goals Champion a customer-centric culture across the organisation, ensuring the customer perspective is embedded throughout the product lifecycle Manage research operations, including planning, recruitment and tooling, to ensure efficient and high-quality delivery Communicate insights effectively to a range of stakeholders, tailoring depth and format to support fast, confident decision-making You have Significant experience in UX Research (+5 years), ideally across consumer-facing digital products Deep expertise in qualitative methods, with strong synthesis and storytelling skills Experience with mixed-method approaches, including light surveys to complement qualitative work Experience working in fast-paced, iterative environments (ideally in financial services or similar) Experience with tools such as Dovetail, UserTesting or similar Experience mentoring or guiding peers in research practices A pragmatic, outcome-focused mindset, able to choose the right level of depth for the question and timeline Experience shaping or evolving a research practice, including methods, standards and tooling Confidence partnering closely with senior leadership, product managers and designers to influence discovery, strategy and prioritisation Strong communication skills, able to make complex insights easy to understand and act upon Curiosity and empathy: you're motivated by understanding how people think, feel and behave Education (optional) Formal education in human-computer interaction, psychology, behavioural science, design or a related field is beneficial, but not required. Equivalent professional experience in UX Research is fully acceptable. Benefits & Logistics Freetrade is the place to accelerate your career. Our benefits package and ways of working are designed to attract and retain the most talented people who are dedicated to making an impact at Freetrade. Here's what's on offer in 2025: Hybrid working culture We're operating in a hybrid model: 3-days in office / 2-days from home. We believe great collaboration happens in person and our beautiful offices in central London and Budapest are designed to bring people together. Office days: Monday, Tuesday, Thursday Work from home days: Wednesday, Friday This setup helps us stay connected, collaborate more effectively, and keep building a culture where we all do our best work together, including dedicated days for focus work. Flexibility for those who need it We have a hybrid working model, but life happens. If you need flexibility let's talk about it, whether you're a parent or have other care responsibilities. Values at Freetrade we live and breathe our values: Honesty, Focus and Grit. Expect to be asked about these in your interview! Benefits In London Competitive salary - carefully benchmarked. Holidays - 25 days plus UK public holidays. Your birthday off, plus one extra day for every year at Freetrade. Enhanced pension - We'll match your contributions up to 5%. Group Life Insurance - Protect your loved ones with coverage at 5x your salary, ensuring financial security in any circumstance. Private Health Insurance - Which includes access to high quality medical care, mental health support, dental and vision plans, Wellness programs and preventative care initiatives are also provided to ensure the wellbeing of your entire family. Bonus Scheme - join us and share in our growth. Bonuses are linked to both company success and your individual impact. Income Protection Cover - Safeguard your income with comprehensive coverage, ensuring financial stability in the event of illness or injury. Enhanced parental leave - Time off when it matters most. Flexibility for those who need it - We're office first, but life happens. Whether you're a parent or have care responsibilities, we focus on output and trust you to manage your time. Learning & Development - We fund industry qualifications so you can grow as a financial services professional. Cycle to Work scheme - Get a high quality bike and gear through our salary sacrifice scheme, spreading the cost with tax free monthly installments. Paid Sick Leave - Receive 10 days of fully paid sick leave each calendar year. Interview Process Initial interview - A chat with one of our Talent Partners. Hiring Manager interview - A deep dive into your skills and experience. Take home Task & Presentation - Show us how you think and solve problems Executive interview - A conversation with our senior leaders, where we also assess cultural fit. We are an Equal Opportunity employer committed to a diverse and representative team. Whatever your race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability - we want to hear from you. To find out more about how we look after your personal data when you apply for a job with us, please see our Recruitment Privacy Policy here. Please note we are not accepting agency CVs.
Jan 01, 2026
Full time
About Freetrade Freetrade's mission is to become the default place to invest. Investing has been too complicated and expensive for too long, keeping millions from making the most of their savings. We're changing that. We're building our team and looking for people who are excited to reshape how our customers invest and grow their wealth. If you're driven by solving complex problems and building innovative products, you'll fit right in. 2025 is a big year for us. In January, we announced a game changing deal to become part of the IG Group. We'll continue to operate as an independent business while gaining access to the resources and support of an established leader in the space. This year, we're accelerating our roadmap and taking our products to the next level. We're building new features like mutual funds, bonds, and family investment tools. We're also exploring how we can leverage AI to deliver an even better experience for our customers. About the role This role would help shape the user research function at Freetrade by aligning behavioural understanding and customer insights into our Product strategy and decision-making. You will Lead end-to-end qualitative and mixed-method research projects, including interviews, moderated sessions, concept testing and usability studies Shape discovery work with Product and Design, helping teams define the right questions and approach Conduct light quantitative work that supports qualitative findings, such as simple evaluative surveys Synthesise behavioural insights into clear, actionable recommendations that influence product direction Develop and maintain research standards, frameworks and ways of working for the wider team Collaborate with Product, Design, Marketing and Data to ensure research is well-scoped and aligned with business goals Champion a customer-centric culture across the organisation, ensuring the customer perspective is embedded throughout the product lifecycle Manage research operations, including planning, recruitment and tooling, to ensure efficient and high-quality delivery Communicate insights effectively to a range of stakeholders, tailoring depth and format to support fast, confident decision-making You have Significant experience in UX Research (+5 years), ideally across consumer-facing digital products Deep expertise in qualitative methods, with strong synthesis and storytelling skills Experience with mixed-method approaches, including light surveys to complement qualitative work Experience working in fast-paced, iterative environments (ideally in financial services or similar) Experience with tools such as Dovetail, UserTesting or similar Experience mentoring or guiding peers in research practices A pragmatic, outcome-focused mindset, able to choose the right level of depth for the question and timeline Experience shaping or evolving a research practice, including methods, standards and tooling Confidence partnering closely with senior leadership, product managers and designers to influence discovery, strategy and prioritisation Strong communication skills, able to make complex insights easy to understand and act upon Curiosity and empathy: you're motivated by understanding how people think, feel and behave Education (optional) Formal education in human-computer interaction, psychology, behavioural science, design or a related field is beneficial, but not required. Equivalent professional experience in UX Research is fully acceptable. Benefits & Logistics Freetrade is the place to accelerate your career. Our benefits package and ways of working are designed to attract and retain the most talented people who are dedicated to making an impact at Freetrade. Here's what's on offer in 2025: Hybrid working culture We're operating in a hybrid model: 3-days in office / 2-days from home. We believe great collaboration happens in person and our beautiful offices in central London and Budapest are designed to bring people together. Office days: Monday, Tuesday, Thursday Work from home days: Wednesday, Friday This setup helps us stay connected, collaborate more effectively, and keep building a culture where we all do our best work together, including dedicated days for focus work. Flexibility for those who need it We have a hybrid working model, but life happens. If you need flexibility let's talk about it, whether you're a parent or have other care responsibilities. Values at Freetrade we live and breathe our values: Honesty, Focus and Grit. Expect to be asked about these in your interview! Benefits In London Competitive salary - carefully benchmarked. Holidays - 25 days plus UK public holidays. Your birthday off, plus one extra day for every year at Freetrade. Enhanced pension - We'll match your contributions up to 5%. Group Life Insurance - Protect your loved ones with coverage at 5x your salary, ensuring financial security in any circumstance. Private Health Insurance - Which includes access to high quality medical care, mental health support, dental and vision plans, Wellness programs and preventative care initiatives are also provided to ensure the wellbeing of your entire family. Bonus Scheme - join us and share in our growth. Bonuses are linked to both company success and your individual impact. Income Protection Cover - Safeguard your income with comprehensive coverage, ensuring financial stability in the event of illness or injury. Enhanced parental leave - Time off when it matters most. Flexibility for those who need it - We're office first, but life happens. Whether you're a parent or have care responsibilities, we focus on output and trust you to manage your time. Learning & Development - We fund industry qualifications so you can grow as a financial services professional. Cycle to Work scheme - Get a high quality bike and gear through our salary sacrifice scheme, spreading the cost with tax free monthly installments. Paid Sick Leave - Receive 10 days of fully paid sick leave each calendar year. Interview Process Initial interview - A chat with one of our Talent Partners. Hiring Manager interview - A deep dive into your skills and experience. Take home Task & Presentation - Show us how you think and solve problems Executive interview - A conversation with our senior leaders, where we also assess cultural fit. We are an Equal Opportunity employer committed to a diverse and representative team. Whatever your race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability - we want to hear from you. To find out more about how we look after your personal data when you apply for a job with us, please see our Recruitment Privacy Policy here. Please note we are not accepting agency CVs.
Job Application for Senior Python Engineer - AI at Man Group London About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $213.9 billion and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at As at 30 September 2025 The Team At Man Group, our ambitions for AI are significant. We have a long history of pioneering technology in finance, and this role presents the opportunity to join us, as we work towards leveraging scalable intelligence to fundamentally change how we identify and execute on investment opportunities. Job Description We are looking for a high-performing Senior Python Engineer to build solutions that make use of the latest GenAI and Machine Learning techniques and capabilities. This role is at the intersection of technology, generative AI and finance, helping to deliver high-impact, novel solutions that touch every part of our business. Working in our Machine Learning Technology team, you will build out the core AI platform and infrastructure used across Man Group. You will also partner and consult with teams across the business to create agents and tools that augment, automate and transform our investment and operational workflows. Role Responsibilities Design, build, and maintain the firm's core AI and Machine Learning platform Partner with stakeholders in research, trading, technology, and operations to design, build, and deploy bespoke AI/ML applications and agents Actively monitor the latest developments in applied AI to identify, propose, and implement novel AI-powered solutions Proactively engage with teams across the business to promote understanding and adoption of AI tools and capabilities Key Competencies Essential Advanced proficiency in Python, with extensive professional experience in building production applications and services Proven experience working in a formal Python development environment alongside other developers, following software development best practices Demonstrable enthusiasm for AI engineering and Machine Learning Strong academic record to include a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics Self organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Strong interpersonal skills with the ability to establish and maintain a close working relationship with traders, quantitative researchers, and other stakeholders Advantageous Familiarity with front end frameworks/languages e.g. TypeScript, React, Next.js Experience integrating with databases such as PostgreSQL and Redis Experience using GenAI to build agentic, knowledge processing, or automated coding tools Experience training or fine tuning generative models Experience building tools and technologies within systematic or discretionary investing units Experience working with applied mathematics, financial markets and instruments, with awareness of underlying concepts Experience with our tooling stack: Linux/UNIX, Git, Jira, Slack Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual "Mankind" days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long term disability coverage, group sick pay, enhanced parental leave and long service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .
Jan 01, 2026
Full time
Job Application for Senior Python Engineer - AI at Man Group London About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $213.9 billion and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at As at 30 September 2025 The Team At Man Group, our ambitions for AI are significant. We have a long history of pioneering technology in finance, and this role presents the opportunity to join us, as we work towards leveraging scalable intelligence to fundamentally change how we identify and execute on investment opportunities. Job Description We are looking for a high-performing Senior Python Engineer to build solutions that make use of the latest GenAI and Machine Learning techniques and capabilities. This role is at the intersection of technology, generative AI and finance, helping to deliver high-impact, novel solutions that touch every part of our business. Working in our Machine Learning Technology team, you will build out the core AI platform and infrastructure used across Man Group. You will also partner and consult with teams across the business to create agents and tools that augment, automate and transform our investment and operational workflows. Role Responsibilities Design, build, and maintain the firm's core AI and Machine Learning platform Partner with stakeholders in research, trading, technology, and operations to design, build, and deploy bespoke AI/ML applications and agents Actively monitor the latest developments in applied AI to identify, propose, and implement novel AI-powered solutions Proactively engage with teams across the business to promote understanding and adoption of AI tools and capabilities Key Competencies Essential Advanced proficiency in Python, with extensive professional experience in building production applications and services Proven experience working in a formal Python development environment alongside other developers, following software development best practices Demonstrable enthusiasm for AI engineering and Machine Learning Strong academic record to include a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics Self organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Strong interpersonal skills with the ability to establish and maintain a close working relationship with traders, quantitative researchers, and other stakeholders Advantageous Familiarity with front end frameworks/languages e.g. TypeScript, React, Next.js Experience integrating with databases such as PostgreSQL and Redis Experience using GenAI to build agentic, knowledge processing, or automated coding tools Experience training or fine tuning generative models Experience building tools and technologies within systematic or discretionary investing units Experience working with applied mathematics, financial markets and instruments, with awareness of underlying concepts Experience with our tooling stack: Linux/UNIX, Git, Jira, Slack Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual "Mankind" days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long term disability coverage, group sick pay, enhanced parental leave and long service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .
Software Developer - Research Technology XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani. We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximize the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world class researchers with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large scale data centre in Finland to future proof its significant computational capabilities. At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non hierarchical and one where everyone is valued. We strive for excellence in everything we do. The Role XTX is a research driven organisation, built and led by passionate mathematicians and computer scientists. The Research Technology team that you will be a part of lies at the heart of the company - the HPC cluster is understandably regarded as one of the firm's core assets, and driving its development forward is a primary focus of XTX. The research performed on the cluster is fundamental to the firm's success; XTX trades globally with daily volumes of over $250bn per day. Our cluster is one of the largest HPC clusters in the world, which the research technology team have built by writing software. We have found that most third party software cannot operate at the scale that XTX requires or cannot offer the reliability and resilience needed running a compute network of this size. We are a full stack team that works side by side with our researchers to make the most performant, reliable, and transparent system we can. We are looking for someone to join in a senior capacity to work with our experienced team to help design and build the software that our HPC cluster. What we are doing: We are building our own exa scale filesystem, designed to handle billions of directories, a trillion files and a million clients spanning multiple datacentres, whilst offering complete resiliency against hardware failure. Our job scheduler operates on a dynamic graph of over 10m entries, managing the concurrent operation of 100k tasks. We are building out zero touch platforms to handle the monitoring, operation, and upgrade of tens of thousands of machines, providing seamless with our DC ops teams. We build our own custom file formats and compression algorithms, beating industry standards, as well as, custom GPU tooling and network management software, to optimise the performance we achieve from 20,000 high end GPUs. As well as building on these projects we are looking to open up our cluster to provide access to more teams and expanding across multiple datacentres. We expect to improve our measurement and optimisation of resource usage across the entire cluster, enhancing performance. Exceptional candidates will be involved in low level software design for interfacing with GPU/CPU, covering all aspects from filesystem and network drivers to computational algorithms. Responsibilities The Research Technology team at XTX Markets is responsible for all aspects of the firm's HPC cluster as well as supporting the work of the quantitative researchers that use it. Although the team's scope encompasses all aspects of infrastructure and software design, implementation and maintenance, this role is primarily focused on software development. Successful candidates will be self motivated and self starters; they will actively mentor more junior team members and look to push the boundaries of what the team can achieve. They will constructively engage with the team of researchers and look for novel and scalable ways of solving problems. They will have a strong awareness of risk - not afraid to promote radical change and alternative ways of thinking, but also able to deliver solutions in a pragmatic and secure manner reducing the potential for operational failure. They must be prepared to work in a fast moving environment and manage the challenges of maintaining a complex live system 24/7 whilst delivering change at short notice or to tight deadlines. A solid grounding in academic CS fundamentals (algorithms and data structures). Proficient in at least one statically typed language; development with be using Golang and Rust though experience in these is not a pre requisite. Scripting is mainly in Python. Approximately 5-10 years' experience designing and building large scale distributed systems; with the ability to develop highly scalable solutions to problems. Strong problem solving and analytical skills. Familiarity with the Linux operating system; able to engage in diagnosing issues, specifically those associated with performance and scalability. Ability to multi task, working on multiple projects at once and prioritise appropriately across them. Be highly self motivated and able to work independently without supervision. Understanding of one or more machine learning frameworks and compute offload devices, like GPUs, is an advantage. Onsite gym, sauna, and fitness classes at no charge Extensive medical benefits including an on site doctor and therapist at no charge Breakfast and lunch provided Monday, Tues, Weds and Thurs Various supports for caregivers, including emergency dependent care Beautiful Kings Cross office: 25 days paid holiday per year + statutory holiday and paid sick days. We currently operate 4 days a week in office, 1 from home.
Jan 01, 2026
Full time
Software Developer - Research Technology XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 50,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over $250bn a day across 35 countries and has over 250 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani. We leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximize the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with 650 petabytes of usable storage. Teams across the firm include world class researchers with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large scale data centre in Finland to future proof its significant computational capabilities. At XTX Markets technology is our business and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non hierarchical and one where everyone is valued. We strive for excellence in everything we do. The Role XTX is a research driven organisation, built and led by passionate mathematicians and computer scientists. The Research Technology team that you will be a part of lies at the heart of the company - the HPC cluster is understandably regarded as one of the firm's core assets, and driving its development forward is a primary focus of XTX. The research performed on the cluster is fundamental to the firm's success; XTX trades globally with daily volumes of over $250bn per day. Our cluster is one of the largest HPC clusters in the world, which the research technology team have built by writing software. We have found that most third party software cannot operate at the scale that XTX requires or cannot offer the reliability and resilience needed running a compute network of this size. We are a full stack team that works side by side with our researchers to make the most performant, reliable, and transparent system we can. We are looking for someone to join in a senior capacity to work with our experienced team to help design and build the software that our HPC cluster. What we are doing: We are building our own exa scale filesystem, designed to handle billions of directories, a trillion files and a million clients spanning multiple datacentres, whilst offering complete resiliency against hardware failure. Our job scheduler operates on a dynamic graph of over 10m entries, managing the concurrent operation of 100k tasks. We are building out zero touch platforms to handle the monitoring, operation, and upgrade of tens of thousands of machines, providing seamless with our DC ops teams. We build our own custom file formats and compression algorithms, beating industry standards, as well as, custom GPU tooling and network management software, to optimise the performance we achieve from 20,000 high end GPUs. As well as building on these projects we are looking to open up our cluster to provide access to more teams and expanding across multiple datacentres. We expect to improve our measurement and optimisation of resource usage across the entire cluster, enhancing performance. Exceptional candidates will be involved in low level software design for interfacing with GPU/CPU, covering all aspects from filesystem and network drivers to computational algorithms. Responsibilities The Research Technology team at XTX Markets is responsible for all aspects of the firm's HPC cluster as well as supporting the work of the quantitative researchers that use it. Although the team's scope encompasses all aspects of infrastructure and software design, implementation and maintenance, this role is primarily focused on software development. Successful candidates will be self motivated and self starters; they will actively mentor more junior team members and look to push the boundaries of what the team can achieve. They will constructively engage with the team of researchers and look for novel and scalable ways of solving problems. They will have a strong awareness of risk - not afraid to promote radical change and alternative ways of thinking, but also able to deliver solutions in a pragmatic and secure manner reducing the potential for operational failure. They must be prepared to work in a fast moving environment and manage the challenges of maintaining a complex live system 24/7 whilst delivering change at short notice or to tight deadlines. A solid grounding in academic CS fundamentals (algorithms and data structures). Proficient in at least one statically typed language; development with be using Golang and Rust though experience in these is not a pre requisite. Scripting is mainly in Python. Approximately 5-10 years' experience designing and building large scale distributed systems; with the ability to develop highly scalable solutions to problems. Strong problem solving and analytical skills. Familiarity with the Linux operating system; able to engage in diagnosing issues, specifically those associated with performance and scalability. Ability to multi task, working on multiple projects at once and prioritise appropriately across them. Be highly self motivated and able to work independently without supervision. Understanding of one or more machine learning frameworks and compute offload devices, like GPUs, is an advantage. Onsite gym, sauna, and fitness classes at no charge Extensive medical benefits including an on site doctor and therapist at no charge Breakfast and lunch provided Monday, Tues, Weds and Thurs Various supports for caregivers, including emergency dependent care Beautiful Kings Cross office: 25 days paid holiday per year + statutory holiday and paid sick days. We currently operate 4 days a week in office, 1 from home.
Overview APPLY VIA THIS LINK (DO NOT USE THE BLUE APPLY BUTTON) Aspect Capital is an award-winning systematic hedge fund based in London that manages over $8 billion of client assets, where technology is an integral part of our business. We are seeking a highly skilled Quantitative Developer to join our team, contributing to the development and maintenance of key investment infrastructure and analytics. This role involves collaborating with quantitative researchers and traders to design and implement scalable solutions, addressing complex business needs related to loading financial data, risk management, and backtesting. You will be working within a dynamic, fast-paced environment, supporting cross-functional teams across multiple investment platforms. APPLY VIA THIS LINK (DO NOT USE THE BLUE APPLY BUTTON) Agency Name: LGBT Great Agency contact first name: LGBT Agency contact last name: Great Agency contact email: Candidate reference ID: This is your name Essential Skills & Experience 3-8 years of professional experience in software development, specializing in Python. Hands-on experience with continuous integration and delivery systems (e.g., Jenkins, GitLab CI/CD) and a strong understanding of Software Development Life Cycle (SDLC) best practices. Knowledge of SQL for database management and query optimization. Proficiency in Linux and Docker, including system administration and containerization for deployment and scaling. Preferred Skills & Experience Deep understanding of futures asset classes and their application in systematic trading. Experience in developing financial backtesting systems for quantitative strategies. Matlab experience is a plus. Job Responsibilities Develop and maintain critical components of the investment infrastructure, including the data interface layer, central risk calculations, and backtesting frameworks utilized by diverse investment teams. Work closely with quantitative researchers and traders to engineer robust solutions for business challenges. Provide production-level support to key systems, ensuring their continued functionality and reliability. If this role sounds of interest, we would love to hear from you.
Jan 01, 2026
Full time
Overview APPLY VIA THIS LINK (DO NOT USE THE BLUE APPLY BUTTON) Aspect Capital is an award-winning systematic hedge fund based in London that manages over $8 billion of client assets, where technology is an integral part of our business. We are seeking a highly skilled Quantitative Developer to join our team, contributing to the development and maintenance of key investment infrastructure and analytics. This role involves collaborating with quantitative researchers and traders to design and implement scalable solutions, addressing complex business needs related to loading financial data, risk management, and backtesting. You will be working within a dynamic, fast-paced environment, supporting cross-functional teams across multiple investment platforms. APPLY VIA THIS LINK (DO NOT USE THE BLUE APPLY BUTTON) Agency Name: LGBT Great Agency contact first name: LGBT Agency contact last name: Great Agency contact email: Candidate reference ID: This is your name Essential Skills & Experience 3-8 years of professional experience in software development, specializing in Python. Hands-on experience with continuous integration and delivery systems (e.g., Jenkins, GitLab CI/CD) and a strong understanding of Software Development Life Cycle (SDLC) best practices. Knowledge of SQL for database management and query optimization. Proficiency in Linux and Docker, including system administration and containerization for deployment and scaling. Preferred Skills & Experience Deep understanding of futures asset classes and their application in systematic trading. Experience in developing financial backtesting systems for quantitative strategies. Matlab experience is a plus. Job Responsibilities Develop and maintain critical components of the investment infrastructure, including the data interface layer, central risk calculations, and backtesting frameworks utilized by diverse investment teams. Work closely with quantitative researchers and traders to engineer robust solutions for business challenges. Provide production-level support to key systems, ensuring their continued functionality and reliability. If this role sounds of interest, we would love to hear from you.
Our Quantitative Developers are the enablers of our success. They work side-by-side with our researchers to realise their ideas in global financial markets. They work at the bleeding-edge with immense compute power at their fingertips to achieve our aim: predicting the future. The core tech stack is C# and Python, productionised in our own datacentres. Areas of focus Trading systems - reliable and performant systems able to trade 24/6 for our customers, with real money at stake Modelling - building core capabilities and assisting quant researchers in our cutting edge prediction capabilities Simulation - back-testing frameworks for validating the strategies our researchers produce and for assessing their ongoing performance Research tooling - front-end UX and workflow for our quant researchers Performance and scalability - optimising our trading and research systems to unlock new capabilities
Jan 01, 2026
Full time
Our Quantitative Developers are the enablers of our success. They work side-by-side with our researchers to realise their ideas in global financial markets. They work at the bleeding-edge with immense compute power at their fingertips to achieve our aim: predicting the future. The core tech stack is C# and Python, productionised in our own datacentres. Areas of focus Trading systems - reliable and performant systems able to trade 24/6 for our customers, with real money at stake Modelling - building core capabilities and assisting quant researchers in our cutting edge prediction capabilities Simulation - back-testing frameworks for validating the strategies our researchers produce and for assessing their ongoing performance Research tooling - front-end UX and workflow for our quant researchers Performance and scalability - optimising our trading and research systems to unlock new capabilities
. About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. About the Role We are seeking a Senior Product Manager to lead the adaptation, development and evaluation of AI-enhanced learning experiences within ClinicalKey Student for the medical education market. This role will focus on creating solutions that improve how students and faculty access, personalize, and apply trusted medical knowledge. You will take a globally developed product and adapt it for market fit. Leading the end-to-end process -from defining customer needs and testing AI capabilities, to launching and evaluating success across pilot institutions Key Responsibilities Product Delivery and Development Oversee the full product lifecycle, from concept through delivery and optimization. Write clear, actionable requirements and collaborate closely with design and engineering teams. Apply agile principles to deliver high-quality, user-centered products. Address complex challenges with creative and practical solutions. AI and Data-Driven Decision-Making Lead the integration of AI solutions to improve product functionality, automation, and decision-making. Act as a key advocate for AI adoption across the product lifecycle-evaluating opportunities where AI can create differentiation or efficiency. Use AI-powered analytics tools to generate insights that influence product direction. Customer Focus Build a strong understanding of customer needs, behaviours, and emerging trends. Engage directly with customers to identify opportunities and inform product strategy. Guide the UX, Marketing, Commercial and Sales teams to design solutions that enhance customer experience and deliver measurable value. Stay informed about competitors, market shifts, and regulatory changes. Data-Driven Decision-Making Use data and metrics to guide priorities and measure success. Balance qualitative and quantitative insights when data is incomplete. Define KPIs, dashboards, and success metrics for key product initiatives. Go-to-Market and Product Launch Partner with marketing, sales, and customer teams to design and execute launch plans. Support business planning and identify opportunities for growth or product improvement. Manage product lifecycle activities, including launches, updates, and retirements. Strategy and Commercial Insight Shape and communicate a clear product vision and roadmap aligned with business goals. Use data and market insights to guide investment decisions and demonstrate ROI. Support business case development and contribute to strategic planning. Technical Understanding Communicate effectively with technical teams and understand high-level architecture. Leverage company platforms and technologies to enhance product capabilities. Stay informed about emerging technologies that could support future innovation. Core Competencies Personal Effectiveness Take ownership of personal and professional development. Learn from feedback, successes, and challenges. Demonstrate accountability and follow through on commitments. Problem Solving and Innovation Analyze challenges using diverse perspectives and evidence-based reasoning. Generate and implement creative ideas that improve products, processes, or outcomes. Collaboration and Communication Communicate clearly and respectfully with diverse stakeholders. Encourage open discussion, shared learning, and teamwork across departments. Build strong, trust-based relationships. Leadership and Development Inspire and motivate others through clarity, support, and recognition. Mentor peers and team members by sharing expertise and feedback. Foster a culture of learning, inclusion, and collaboration. Results Orientation Set clear goals and track progress against measurable outcomes. Balance short-term objectives with long-term vision. Drive accountability and shared success across teams. Qualifications and Experience 6-8 years of experience in product management or a related field. Proven success managing products or major features from concept to launch, including customer facing AI projects. Experience collaborating with customers and cross-functional teams to deliver commercial results. Degree in a relevant field. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: .Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all.We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most.We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all.With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world. We offer a diverse range of opportunities across technology, commercial, business, and early career jobs. If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, find your team at Elsevier.Elsevier is part of RELX Group.Let's shape progress together. Join
Jan 01, 2026
Full time
. About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. About the Role We are seeking a Senior Product Manager to lead the adaptation, development and evaluation of AI-enhanced learning experiences within ClinicalKey Student for the medical education market. This role will focus on creating solutions that improve how students and faculty access, personalize, and apply trusted medical knowledge. You will take a globally developed product and adapt it for market fit. Leading the end-to-end process -from defining customer needs and testing AI capabilities, to launching and evaluating success across pilot institutions Key Responsibilities Product Delivery and Development Oversee the full product lifecycle, from concept through delivery and optimization. Write clear, actionable requirements and collaborate closely with design and engineering teams. Apply agile principles to deliver high-quality, user-centered products. Address complex challenges with creative and practical solutions. AI and Data-Driven Decision-Making Lead the integration of AI solutions to improve product functionality, automation, and decision-making. Act as a key advocate for AI adoption across the product lifecycle-evaluating opportunities where AI can create differentiation or efficiency. Use AI-powered analytics tools to generate insights that influence product direction. Customer Focus Build a strong understanding of customer needs, behaviours, and emerging trends. Engage directly with customers to identify opportunities and inform product strategy. Guide the UX, Marketing, Commercial and Sales teams to design solutions that enhance customer experience and deliver measurable value. Stay informed about competitors, market shifts, and regulatory changes. Data-Driven Decision-Making Use data and metrics to guide priorities and measure success. Balance qualitative and quantitative insights when data is incomplete. Define KPIs, dashboards, and success metrics for key product initiatives. Go-to-Market and Product Launch Partner with marketing, sales, and customer teams to design and execute launch plans. Support business planning and identify opportunities for growth or product improvement. Manage product lifecycle activities, including launches, updates, and retirements. Strategy and Commercial Insight Shape and communicate a clear product vision and roadmap aligned with business goals. Use data and market insights to guide investment decisions and demonstrate ROI. Support business case development and contribute to strategic planning. Technical Understanding Communicate effectively with technical teams and understand high-level architecture. Leverage company platforms and technologies to enhance product capabilities. Stay informed about emerging technologies that could support future innovation. Core Competencies Personal Effectiveness Take ownership of personal and professional development. Learn from feedback, successes, and challenges. Demonstrate accountability and follow through on commitments. Problem Solving and Innovation Analyze challenges using diverse perspectives and evidence-based reasoning. Generate and implement creative ideas that improve products, processes, or outcomes. Collaboration and Communication Communicate clearly and respectfully with diverse stakeholders. Encourage open discussion, shared learning, and teamwork across departments. Build strong, trust-based relationships. Leadership and Development Inspire and motivate others through clarity, support, and recognition. Mentor peers and team members by sharing expertise and feedback. Foster a culture of learning, inclusion, and collaboration. Results Orientation Set clear goals and track progress against measurable outcomes. Balance short-term objectives with long-term vision. Drive accountability and shared success across teams. Qualifications and Experience 6-8 years of experience in product management or a related field. Proven success managing products or major features from concept to launch, including customer facing AI projects. Experience collaborating with customers and cross-functional teams to deliver commercial results. Degree in a relevant field. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: .Elsevier is a global leader in advanced information and decision support for science and healthcare. We believe that by working together with the communities we serve, we can shape human progress to go further, happen faster, and benefit all.We support continuous discovery and uphold the highest standards of content integrity, reliability, and reproducibility so the communities we serve can advance their field of science, healthcare or innovation with confidence. By combining high-quality content with powerful analytics, we transform complexity into clarity and deliver mission-critical insights that help professionals make better decisions when it matters most.We deliver insights that help research institutions, governments, and funders achieve their goals. We help researchers discover and share knowledge, collaborate, and accelerate innovation. We help librarians provide verified, quality information to universities. We help innovators turn knowledge into new products. We help health professionals improve patient care and educators train the next generation of doctors and nurses. Connecting quality content and innovative technologies, we make progress go further and happen faster. And by championing inclusion and sustainability, we ensure progress benefits all.With 9,500 employees, over 2,300 technologists in 5 major tech hubs, and more than 60 locations across the globe, we are committed to supporting the scientific and healthcare communities around the world. We offer a diverse range of opportunities across technology, commercial, business, and early career jobs. If you are looking for a career that inspires progress in science, innovation and health, and allows you to grow every day, find your team at Elsevier.Elsevier is part of RELX Group.Let's shape progress together. Join
