A leading energy trading company in Greater London seeks a Quantitative Developer to contribute to developing and maintaining its derivative systems infrastructure. The role involves engaging with business units for requirements, implementing best practices in software development, and supporting analytical tools for traders. The ideal candidate will possess C/C++ and Python experience, with familiarity in financial products preferred. Join a dynamic team where you'll collaborate across departments, ensuring robust and scalable solutions.
Mar 03, 2026
Full time
A leading energy trading company in Greater London seeks a Quantitative Developer to contribute to developing and maintaining its derivative systems infrastructure. The role involves engaging with business units for requirements, implementing best practices in software development, and supporting analytical tools for traders. The ideal candidate will possess C/C++ and Python experience, with familiarity in financial products preferred. Join a dynamic team where you'll collaborate across departments, ensuring robust and scalable solutions.
Description At Engine by Starling , we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling Bank, and two years ago we split out as a separate business. Starling has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success. As a company, everyone is expected to roll up their sleeves to help deliver great outcomes for our clients. We are an engineering led company and we're looking for someone who will be excited by the potential for Engine's technology to transform banking in different markets around the world. Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. About the Role The Engine Platform is a highly configurable core banking platform, supporting clients globally. This role is focused on development and delivery of our core Platform technical strategy, such as integrations, connections, configurations, and internal tools to facilitate the platform's growth and allow our clients to integrate with their local providers into the platform. As a Technical Platform Owner at Engine, you will collaborate closely with teams across Technology and work with our engineering and product teams to ensure that our technology platform meets the needs of our clients and partner engineers who integrate with it. You will also ensure that the platform aligns with the company's broader technical strategy, long term goals and make integrating with Engine as seamless as possible. At Engine, we spend our time building products that we're really proud of. We focus on the experience, often delivering things with real polish but sometimes making a fast strategic move. We think being good at product requires clear communication, a sense of focus, and to challenge the conventional ways of doing things. We're open-minded when it comes to hiring, we care more about skills and attitude than specific experience or qualifications. Key Responsibilities Work with platform engineering teams to develop and communicate a cohesive product roadmap that delivers high-impact outcomes that improve developer productivity and experience for our clients engineers. Gather feedback and break down problems: Actively listen to teams for pain points and feedback, gather requirements, and break down complex problems into actionable projects across teams. Drive adoption and education: Promote the platform's capabilities by creating clear documentation (with the help of our technical writers), providing training and guidance to our internal teams. Define and Measure Success: Establish and track key technical and business metrics like API latency, developer satisfaction, integration time, and platform adoption rates to ensure our strategy is impactful. Ensure security and compliance: Collaborate with security and compliance teams to embed best practices and meet all regulatory requirements. Requirements A deep, hands-on understanding of how modern, distributed systems are built at scale. You should be able to articulate the trade-offs of different architectural decisions and speak fluently about REST APIs, webhooks, event-driven architecture, and asynchronous communication patterns. Hands-on engineering experience or a technical background. Proven experience as a product or platform owner in a highly technical domain. Ideally, you've been a part of a team that has scaled a platform from a foundational stage to a widely adopted product. The ability to simplify and provide clarity on complex, architectural problems to a wide range of stakeholders, from junior engineers to executive leadership. Experience in making evidence-based product decisions using both qualitative and quantitative data, specifically within a technical product context. A proven ability to act as a voice for the user and influence teams and stakeholders without direct authority, particularly in engineering-led environments. You should be comfortable working directly with engineers, both internally and externally. You can "speak their language" and have a strong understanding of how they would integrate into a technical platform. Experience building B2B SaaS products from the ground up. Nice to have Experience integrating with a core banking platform. Experience in the FinTech or banking industry. Experience in taking a software from an internal tool to an external, revenue-generating product. Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 45 mins with someone from the tech team Stage 2 - 60 min with two team members Stage 3 - Final with either CTO/ Deputy CTO or Engineering Director Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Engine by Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Engine by Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Engine by Starling and Starling will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Mar 03, 2026
Full time
Description At Engine by Starling , we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling Bank, and two years ago we split out as a separate business. Starling has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success. As a company, everyone is expected to roll up their sleeves to help deliver great outcomes for our clients. We are an engineering led company and we're looking for someone who will be excited by the potential for Engine's technology to transform banking in different markets around the world. Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. About the Role The Engine Platform is a highly configurable core banking platform, supporting clients globally. This role is focused on development and delivery of our core Platform technical strategy, such as integrations, connections, configurations, and internal tools to facilitate the platform's growth and allow our clients to integrate with their local providers into the platform. As a Technical Platform Owner at Engine, you will collaborate closely with teams across Technology and work with our engineering and product teams to ensure that our technology platform meets the needs of our clients and partner engineers who integrate with it. You will also ensure that the platform aligns with the company's broader technical strategy, long term goals and make integrating with Engine as seamless as possible. At Engine, we spend our time building products that we're really proud of. We focus on the experience, often delivering things with real polish but sometimes making a fast strategic move. We think being good at product requires clear communication, a sense of focus, and to challenge the conventional ways of doing things. We're open-minded when it comes to hiring, we care more about skills and attitude than specific experience or qualifications. Key Responsibilities Work with platform engineering teams to develop and communicate a cohesive product roadmap that delivers high-impact outcomes that improve developer productivity and experience for our clients engineers. Gather feedback and break down problems: Actively listen to teams for pain points and feedback, gather requirements, and break down complex problems into actionable projects across teams. Drive adoption and education: Promote the platform's capabilities by creating clear documentation (with the help of our technical writers), providing training and guidance to our internal teams. Define and Measure Success: Establish and track key technical and business metrics like API latency, developer satisfaction, integration time, and platform adoption rates to ensure our strategy is impactful. Ensure security and compliance: Collaborate with security and compliance teams to embed best practices and meet all regulatory requirements. Requirements A deep, hands-on understanding of how modern, distributed systems are built at scale. You should be able to articulate the trade-offs of different architectural decisions and speak fluently about REST APIs, webhooks, event-driven architecture, and asynchronous communication patterns. Hands-on engineering experience or a technical background. Proven experience as a product or platform owner in a highly technical domain. Ideally, you've been a part of a team that has scaled a platform from a foundational stage to a widely adopted product. The ability to simplify and provide clarity on complex, architectural problems to a wide range of stakeholders, from junior engineers to executive leadership. Experience in making evidence-based product decisions using both qualitative and quantitative data, specifically within a technical product context. A proven ability to act as a voice for the user and influence teams and stakeholders without direct authority, particularly in engineering-led environments. You should be comfortable working directly with engineers, both internally and externally. You can "speak their language" and have a strong understanding of how they would integrate into a technical platform. Experience building B2B SaaS products from the ground up. Nice to have Experience integrating with a core banking platform. Experience in the FinTech or banking industry. Experience in taking a software from an internal tool to an external, revenue-generating product. Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 45 mins with someone from the tech team Stage 2 - 60 min with two team members Stage 3 - Final with either CTO/ Deputy CTO or Engineering Director Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Engine by Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Engine by Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Engine by Starling and Starling will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
The Quantitative Solutions department is business focussed and prides itself in being subject matter experts across our core areas: business knowledge, research and development of derivatives models and strategies, analytical tools, producing scalable performant services for pricing and risk. Team Description The Quantitative Development team is part of Quantitative Solutions which sits in the Front Office and is the centre of quantitative development capability for EDF Trading. It has direct responsibility over the development and maintenance of EDF Trading's derivative systems infrastructure. The team also provides other front office analytical tools for both traders and structurers, with the support of other teams in the group. Core Responsibilities Development Engage with the Head of the Quantitative Development team for the delivery of any development work within the agreed timelines. Adhere to the company's standards and best practices, including, but not limited to, documentation, testing and peer review Use technology appropriately and flexibly, taking into consideration the company's strategy and recommendations. Provide full visibility of work undertaken via backlog of requests. Implement software engineering best practices and develop high quality code with appropriate test coverage Refactor and enhance existing components and solutions to standardise and reduce duplication. Provide detailed documentation of the application/component features being developed. Assist production operations team in testing, rollout and production support. Ability to work in a fast-paced environment.Analytics and other front office tools Be able to develop and support and carry out investigations on the company's main derivative analytics' platform under the supervision of a senior member of the team. Be able to support and further develop other desktop tools built by the quantitative development team. Take ownership of the development infrastructure required by the above tools and, whenever possible, adopt the company's standard toolset for source code repository, continuous build and deployment. Work closely with other teams in the group on various technical aspects such as model integration, performance, improvements and tracking issues to deliver highly reliable and highly complex technical solutions. Coordinate and communicate specific subject matter knowledge to the design and integration phase of each project.Support to the Business Engage with the business to assist them in understanding and defining their requirements for any systems and tools supported by the team. Provide technical advice to the business units by identifying the most appropriate tools/processes for any given task. Experience Required Required experience: Software development experience Desirable experience: Experience in a technology team within a financial institution, ideally in a front office Previous experience working within a trading operation, preferably energy or other commodity trading, with a full understanding of the trade life cycleUnderstanding of financial products, preferably including derivative and option products, In addition familiarity with physically delivered commodities is desirable.Essential technical skills: C/C+ development experience Python experience Desirable technical skills: Nice to have technical skills: Ability to participate in multi-faceted team environment. Excellent written and verbal communication skills We are committed to equipping our employees with the tools that will enable them to fulfil their job to the highest standard. To that end we offer a wide range of technical and personal development courses both in-house and through third-party providers."It is a fast-paced and dynamic working environment where each day is interesting and challenging. There's also an incredible pool of talent and skills within EDFT. I'm continuously learning from my colleagues. There is no 'typical' day. I work on a wide range of compensation, benefit and mobility projects throughout the year. One thing's for sure though, I'll have my head in a spreadsheet at some point."
Mar 03, 2026
Full time
The Quantitative Solutions department is business focussed and prides itself in being subject matter experts across our core areas: business knowledge, research and development of derivatives models and strategies, analytical tools, producing scalable performant services for pricing and risk. Team Description The Quantitative Development team is part of Quantitative Solutions which sits in the Front Office and is the centre of quantitative development capability for EDF Trading. It has direct responsibility over the development and maintenance of EDF Trading's derivative systems infrastructure. The team also provides other front office analytical tools for both traders and structurers, with the support of other teams in the group. Core Responsibilities Development Engage with the Head of the Quantitative Development team for the delivery of any development work within the agreed timelines. Adhere to the company's standards and best practices, including, but not limited to, documentation, testing and peer review Use technology appropriately and flexibly, taking into consideration the company's strategy and recommendations. Provide full visibility of work undertaken via backlog of requests. Implement software engineering best practices and develop high quality code with appropriate test coverage Refactor and enhance existing components and solutions to standardise and reduce duplication. Provide detailed documentation of the application/component features being developed. Assist production operations team in testing, rollout and production support. Ability to work in a fast-paced environment.Analytics and other front office tools Be able to develop and support and carry out investigations on the company's main derivative analytics' platform under the supervision of a senior member of the team. Be able to support and further develop other desktop tools built by the quantitative development team. Take ownership of the development infrastructure required by the above tools and, whenever possible, adopt the company's standard toolset for source code repository, continuous build and deployment. Work closely with other teams in the group on various technical aspects such as model integration, performance, improvements and tracking issues to deliver highly reliable and highly complex technical solutions. Coordinate and communicate specific subject matter knowledge to the design and integration phase of each project.Support to the Business Engage with the business to assist them in understanding and defining their requirements for any systems and tools supported by the team. Provide technical advice to the business units by identifying the most appropriate tools/processes for any given task. Experience Required Required experience: Software development experience Desirable experience: Experience in a technology team within a financial institution, ideally in a front office Previous experience working within a trading operation, preferably energy or other commodity trading, with a full understanding of the trade life cycleUnderstanding of financial products, preferably including derivative and option products, In addition familiarity with physically delivered commodities is desirable.Essential technical skills: C/C+ development experience Python experience Desirable technical skills: Nice to have technical skills: Ability to participate in multi-faceted team environment. Excellent written and verbal communication skills We are committed to equipping our employees with the tools that will enable them to fulfil their job to the highest standard. To that end we offer a wide range of technical and personal development courses both in-house and through third-party providers."It is a fast-paced and dynamic working environment where each day is interesting and challenging. There's also an incredible pool of talent and skills within EDFT. I'm continuously learning from my colleagues. There is no 'typical' day. I work on a wide range of compensation, benefit and mobility projects throughout the year. One thing's for sure though, I'll have my head in a spreadsheet at some point."
# Work With UsDebt Capital Management Director page is loaded Debt Capital Management Directorlocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R009064Tishman Speyer creates vibrant destinations and dynamic environments that inspire innovation and connected communities. As a diversified developer, operator, and investment manager of top-tier real estate in 33 markets across the globe, our business choices are driven by the belief that real estate should unlock human potential. Tishman Speyer's diversified portfolio spans market rate and affordable residential communities, premier office properties and retail spaces, industrial facilities, and mixed-use campuses. We create state-of-the-art life science centers through our Breakthrough Properties joint venture, and foster innovation through our strategic proptech investments. By combining global perspective with local expertise, and a personalized approach, we are able to anticipate our customers' evolving needs. We were the first real estate company to introduce asset-wide amenity services through our ZO platform, and the first traditional real estate company to create its own flexible space and coworking brand, Studio.Since our founding in 1978, Tishman Speyer has acquired, developed, and operated 522 properties, totaling 218 million square feet, with a combined value of over $129 billion (U.S.). Tishman Speyer currently has approximately $68 billion in assets under management, including iconic properties such as Rockefeller Center in New York City, The Springs in Shanghai, TaunusTurm in Frankfurt, and Mission Rock in San Francisco. Summary of the Position: The Director will provide essential analysis and financial modeling for various debt financing structures for the company's ground-up development, acquisition, and in-portfolio properties. The Director will also assist in the marketing and negotiation of commercial real estate loans directly with prospective lenders. The individual must have strong interpersonal skills to interact and collaborate with teammates and senior management. Experience in cash flow analysis and underwriting, financial reports, and experience with commercial loans is essential. The individual will work with various disciplines of the firm, including Acquisitions, Development, Asset Management, Leasing, Accounting, Property Management, Equity Capital Markets, and Design & Construction. Key Responsibilities: Supporting senior team members during the loan marketing and closing process, including through the preparation of financial analyses, internal management updates, lender marketing materials, and assist in the lender communication and loan negotiation process. Managing diligence process with potential lenders, acting as primary point of contact and liaison between lenders and senior team members. Proactively reviewing existing portfolio loans and upcoming financing pipeline to generate attractive new opportunities. Producing internal memoranda and analyses highlighting trends in the commercial financing markets and/or pertaining to Tishman Speyer's loan portfolio. Provide research support for senior team members and for presentations to senior management. Keeping abreast of local real estate financing markets information in Europe and the UK on an on-going basis. Regularly review newsletters and publications to remain current and update internal team. Skills & Qualifications: The candidate will directly interact with colleagues throughout the organization, in France, the UK, Germany and Spain and therefore should have strong quantitative and analytical skills, be detail-oriented, articulate and well organized. The candidate must display initiative, good judgment in managing multiple tasks and strong problem solving skills. The ability to think strategically and to present information in a clear and concise manner is critical. Other qualifications include: 6-8 years of commercial real estate experience, with debt financing experience, including the marketing, structuring, negotiation, and closing of commercial real estate loans, required. Excellent financial modeling skills and analytical skills, including a high degree of proficiency with Excel. Prior pan-European experience on the lending side or borrower/equity side is required, with strong structuring and negotiation skills to secure favorable terms and conditions. The ability to work independently and proactively with exceptional attention to detail. The ability to multitask and collaborate with different departments and work on several projects at the same time with different deadlines The ability to communicate effectively across all functions and with senior management. The ability to build and maintain relationships with lenders, investors and other stakeholders The ability to identify potential issues and develop strategies to address them. High ethical standards to ensure transparency and integrity in dealings Given the pan-European nature of the role, the candidate will need to have excellent oral and written communication skills in English and in French. German proficiency would be a plus. Demonstrated academic success with a bachelor's degree in areas such as finance, economics, accounting or other analytical/quantitative fields.We are proud to be an Equal Opportunity Employer and treat all applicants for employment equally based upon job-related qualifications and without regards to race, color, age, sex, sexual orientation, gender identity, gender expression, marital status, military or veteran status, national origin, disability, religion, or any other characteristics protected by law.Tishman Speyer is deeply committed to creating and maintaining a diverse workforce which promotes different views and perspectives. We expect our leaders and employees alike to champion diversity and inclusion practices. Tishman Speyer has several employee affinity and interest groups that provide employees opportunities to develop professional relationships across the business and identify opportunities for development and advancement.Welcome to the original home of New York glamour and entertainment: The Rainbow RoomWe firmly believe that our team members are the key to our success at the Rainbow Room. Our goal is to deliver the best guest experience and create special memories for all our customers. For our staff, we strive to provide an environment that offers challenging, stimulating and rewarding opportunities.Join our team and discover a work experience where new ideas are met with enthusiasm and where you can grow to your full potential. We are seeking individuals committed to delivering the best service in the hospitality industry, and who enjoy working as a team to create magical moments in one of the most iconic locations in the world.
Mar 02, 2026
Full time
# Work With UsDebt Capital Management Director page is loaded Debt Capital Management Directorlocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: R009064Tishman Speyer creates vibrant destinations and dynamic environments that inspire innovation and connected communities. As a diversified developer, operator, and investment manager of top-tier real estate in 33 markets across the globe, our business choices are driven by the belief that real estate should unlock human potential. Tishman Speyer's diversified portfolio spans market rate and affordable residential communities, premier office properties and retail spaces, industrial facilities, and mixed-use campuses. We create state-of-the-art life science centers through our Breakthrough Properties joint venture, and foster innovation through our strategic proptech investments. By combining global perspective with local expertise, and a personalized approach, we are able to anticipate our customers' evolving needs. We were the first real estate company to introduce asset-wide amenity services through our ZO platform, and the first traditional real estate company to create its own flexible space and coworking brand, Studio.Since our founding in 1978, Tishman Speyer has acquired, developed, and operated 522 properties, totaling 218 million square feet, with a combined value of over $129 billion (U.S.). Tishman Speyer currently has approximately $68 billion in assets under management, including iconic properties such as Rockefeller Center in New York City, The Springs in Shanghai, TaunusTurm in Frankfurt, and Mission Rock in San Francisco. Summary of the Position: The Director will provide essential analysis and financial modeling for various debt financing structures for the company's ground-up development, acquisition, and in-portfolio properties. The Director will also assist in the marketing and negotiation of commercial real estate loans directly with prospective lenders. The individual must have strong interpersonal skills to interact and collaborate with teammates and senior management. Experience in cash flow analysis and underwriting, financial reports, and experience with commercial loans is essential. The individual will work with various disciplines of the firm, including Acquisitions, Development, Asset Management, Leasing, Accounting, Property Management, Equity Capital Markets, and Design & Construction. Key Responsibilities: Supporting senior team members during the loan marketing and closing process, including through the preparation of financial analyses, internal management updates, lender marketing materials, and assist in the lender communication and loan negotiation process. Managing diligence process with potential lenders, acting as primary point of contact and liaison between lenders and senior team members. Proactively reviewing existing portfolio loans and upcoming financing pipeline to generate attractive new opportunities. Producing internal memoranda and analyses highlighting trends in the commercial financing markets and/or pertaining to Tishman Speyer's loan portfolio. Provide research support for senior team members and for presentations to senior management. Keeping abreast of local real estate financing markets information in Europe and the UK on an on-going basis. Regularly review newsletters and publications to remain current and update internal team. Skills & Qualifications: The candidate will directly interact with colleagues throughout the organization, in France, the UK, Germany and Spain and therefore should have strong quantitative and analytical skills, be detail-oriented, articulate and well organized. The candidate must display initiative, good judgment in managing multiple tasks and strong problem solving skills. The ability to think strategically and to present information in a clear and concise manner is critical. Other qualifications include: 6-8 years of commercial real estate experience, with debt financing experience, including the marketing, structuring, negotiation, and closing of commercial real estate loans, required. Excellent financial modeling skills and analytical skills, including a high degree of proficiency with Excel. Prior pan-European experience on the lending side or borrower/equity side is required, with strong structuring and negotiation skills to secure favorable terms and conditions. The ability to work independently and proactively with exceptional attention to detail. The ability to multitask and collaborate with different departments and work on several projects at the same time with different deadlines The ability to communicate effectively across all functions and with senior management. The ability to build and maintain relationships with lenders, investors and other stakeholders The ability to identify potential issues and develop strategies to address them. High ethical standards to ensure transparency and integrity in dealings Given the pan-European nature of the role, the candidate will need to have excellent oral and written communication skills in English and in French. German proficiency would be a plus. Demonstrated academic success with a bachelor's degree in areas such as finance, economics, accounting or other analytical/quantitative fields.We are proud to be an Equal Opportunity Employer and treat all applicants for employment equally based upon job-related qualifications and without regards to race, color, age, sex, sexual orientation, gender identity, gender expression, marital status, military or veteran status, national origin, disability, religion, or any other characteristics protected by law.Tishman Speyer is deeply committed to creating and maintaining a diverse workforce which promotes different views and perspectives. We expect our leaders and employees alike to champion diversity and inclusion practices. Tishman Speyer has several employee affinity and interest groups that provide employees opportunities to develop professional relationships across the business and identify opportunities for development and advancement.Welcome to the original home of New York glamour and entertainment: The Rainbow RoomWe firmly believe that our team members are the key to our success at the Rainbow Room. Our goal is to deliver the best guest experience and create special memories for all our customers. For our staff, we strive to provide an environment that offers challenging, stimulating and rewarding opportunities.Join our team and discover a work experience where new ideas are met with enthusiasm and where you can grow to your full potential. We are seeking individuals committed to delivering the best service in the hospitality industry, and who enjoy working as a team to create magical moments in one of the most iconic locations in the world.
User Researcher Day Rate: 400- 450 (Inside IR35) Contract Length: 3 Months Location: Fully Remote (1 day in Newcastle every 3 weeks) The Role We're looking for an experienced User Researcher to join a high-impact digital team delivering user-centred services at scale. This is an exciting opportunity to work on meaningful projects that directly improve public-facing digital services. You'll play a key role in shaping products and services through evidence-based user insight, ensuring solutions are accessible, inclusive, and aligned with user needs. Key Responsibilities Plan, design and conduct user research across the product lifecycle Use a range of qualitative and quantitative research methods Work closely with Product Managers, Designers and Developers in agile teams Turn complex findings into clear, actionable insights Advocate for user-centred design and accessibility best practices Contribute to research repositories and insight libraries Essential Experience Proven experience working as a User Researcher within GDS environments Strong understanding of the Government Service Standard Experience delivering research in agile, multidisciplinary teams Ability to communicate research findings clearly to a range of stakeholders Experience planning and running usability testing sessions What's on Offer 400- 450 per day (Inside IR35) 3-month initial contract Fully remote working, with just 1 day onsite in Newcastle every 3 weeks Opportunity to work on impactful, large-scale digital transformation programmes
Mar 02, 2026
Contractor
User Researcher Day Rate: 400- 450 (Inside IR35) Contract Length: 3 Months Location: Fully Remote (1 day in Newcastle every 3 weeks) The Role We're looking for an experienced User Researcher to join a high-impact digital team delivering user-centred services at scale. This is an exciting opportunity to work on meaningful projects that directly improve public-facing digital services. You'll play a key role in shaping products and services through evidence-based user insight, ensuring solutions are accessible, inclusive, and aligned with user needs. Key Responsibilities Plan, design and conduct user research across the product lifecycle Use a range of qualitative and quantitative research methods Work closely with Product Managers, Designers and Developers in agile teams Turn complex findings into clear, actionable insights Advocate for user-centred design and accessibility best practices Contribute to research repositories and insight libraries Essential Experience Proven experience working as a User Researcher within GDS environments Strong understanding of the Government Service Standard Experience delivering research in agile, multidisciplinary teams Ability to communicate research findings clearly to a range of stakeholders Experience planning and running usability testing sessions What's on Offer 400- 450 per day (Inside IR35) 3-month initial contract Fully remote working, with just 1 day onsite in Newcastle every 3 weeks Opportunity to work on impactful, large-scale digital transformation programmes
GLOBAL BANKING AND MARKETS Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor. WHAT WE DO Engineers in the Systematic Market Making (SMM) team play an integral role on the trading floor. We develop and employ automated trading strategies for the firm and its clients. We build complex electronic trading pricing and trading systems and tools to generate market signals. Throughout the Global Banking and Markets Division (GBM), eTrading Engineers use quantitative and technological techniques to solve complex business problems. As an eTrading Engineer, you will be building the foundational technologies to run those algorithms on markets around the world, and to enable the research and analysis that support them. We are looking for developers who are interested in applying leading edge technologies to solve problems in electronic trading. In a team of energetic, self motivated individuals, we need someone who can take the initiative at any stage of the software cycle, from inception, through development, to release and support. This role also interacts with a variety of other engineering, strats, trading and sales teams. The structure is flat and the successful candidate will be able to manage their own time for maximum impact. YOUR IMPACT You will be working on a team focused on electronic market making and execution. You will work with other engineers and traders to improve all aspects of price making, risk management and execution. You'll do this with a keen eye on performance, guided by a robust measurement framework and lots of experimentation. You will have an opportunity to develop a deep understanding of how GS interacts with some of the most dynamic and liquid markets in the world. RESPONSIBILITIES AND QUALIFICATIONS Principal Responsibilities Drive the analysis, design, and implementation of high-performance e trading system enhancements to optimize commercial outcomes and market making capabilities. Ensure the safety, reliability, and resilience of critical trading infrastructure through rigorous testing and deployment practices. Collaborate effectively with traders, quantitative researchers, and other engineering teams to deliver innovative solutions that address complex business problems. Strategically prioritize and manage projects, balancing immediate business needs with long-term architectural goals and technological advancements. Experience/Skills Minimum of 4 years of professional experience in software engineering, with a strong focus on high-performance, low-latency systems. Strong academic foundation in Computer Science, Engineering, Mathematics, Physics, or a related analytical discipline. Expertise in Java and/or C++, with a proven track record in developing and optimizing multi-threaded and concurrent applications. Demonstrated experience in electronic trading or financial markets, understanding the commercial implications of system performance and reliability. Ability to analyze complex data sets to derive actionable commercial insights and drive system improvements. Excellent communication, collaboration, and problem-solving skills. Experience of the following would be advantageous Deep understanding of low-latency system design, including network protocols, messaging frameworks, and hardware architecture considerations. Proficiency with Linux environments and command-line tools for system analysis and debugging. Experience with performance tuning, profiling tools, and memory management for Java/C++ applications.
Feb 28, 2026
Full time
GLOBAL BANKING AND MARKETS Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor. WHAT WE DO Engineers in the Systematic Market Making (SMM) team play an integral role on the trading floor. We develop and employ automated trading strategies for the firm and its clients. We build complex electronic trading pricing and trading systems and tools to generate market signals. Throughout the Global Banking and Markets Division (GBM), eTrading Engineers use quantitative and technological techniques to solve complex business problems. As an eTrading Engineer, you will be building the foundational technologies to run those algorithms on markets around the world, and to enable the research and analysis that support them. We are looking for developers who are interested in applying leading edge technologies to solve problems in electronic trading. In a team of energetic, self motivated individuals, we need someone who can take the initiative at any stage of the software cycle, from inception, through development, to release and support. This role also interacts with a variety of other engineering, strats, trading and sales teams. The structure is flat and the successful candidate will be able to manage their own time for maximum impact. YOUR IMPACT You will be working on a team focused on electronic market making and execution. You will work with other engineers and traders to improve all aspects of price making, risk management and execution. You'll do this with a keen eye on performance, guided by a robust measurement framework and lots of experimentation. You will have an opportunity to develop a deep understanding of how GS interacts with some of the most dynamic and liquid markets in the world. RESPONSIBILITIES AND QUALIFICATIONS Principal Responsibilities Drive the analysis, design, and implementation of high-performance e trading system enhancements to optimize commercial outcomes and market making capabilities. Ensure the safety, reliability, and resilience of critical trading infrastructure through rigorous testing and deployment practices. Collaborate effectively with traders, quantitative researchers, and other engineering teams to deliver innovative solutions that address complex business problems. Strategically prioritize and manage projects, balancing immediate business needs with long-term architectural goals and technological advancements. Experience/Skills Minimum of 4 years of professional experience in software engineering, with a strong focus on high-performance, low-latency systems. Strong academic foundation in Computer Science, Engineering, Mathematics, Physics, or a related analytical discipline. Expertise in Java and/or C++, with a proven track record in developing and optimizing multi-threaded and concurrent applications. Demonstrated experience in electronic trading or financial markets, understanding the commercial implications of system performance and reliability. Ability to analyze complex data sets to derive actionable commercial insights and drive system improvements. Excellent communication, collaboration, and problem-solving skills. Experience of the following would be advantageous Deep understanding of low-latency system design, including network protocols, messaging frameworks, and hardware architecture considerations. Proficiency with Linux environments and command-line tools for system analysis and debugging. Experience with performance tuning, profiling tools, and memory management for Java/C++ applications.
Global Banking & Markets - eTrading Engineer - Associate/Vice President - London Job Description GLOBAL BANKING AND MARKETS Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast paced, changing environments and are energized by a bustling trading floor. WHAT WE DO Engineers in the Systematic Market Making (SMM) team play an integral role on the trading floor. We develop and employ automated trading strategies for the firm and its clients. We build complex electronic pricing and trading systems, as well as tools to generate market signals. Throughout the Global Banking and Markets Division (GBM), eTrading Engineers use quantitative and technological techniques to solve complex business problems. As an eTrading Engineer, you will be building the foundational technologies to run those algorithms on markets around the world and to enable the research and analysis that support them. We are looking for developers who are interested in applying leading edge technologies to solve problems in electronic trading. In a team of energetic, self motivated individuals, we need someone who can take the initiative at any stage of the software cycle, from inception through development to release and support. This role also involves interaction with a variety of other engineering, strats, trading, and sales teams. The structure is flat, and the successful candidate will be able to manage their time for maximum impact. YOUR IMPACT You will be working on a team focused on electronic market making and execution. You will work with other engineers and traders to improve all aspects of price making, risk management and execution. You'll do this with a keen eye on performance, guided by a robust measurement framework and lots of experimentation. You will have an opportunity to develop a deep understanding of how GS interacts with some of the most dynamic and liquid markets in the world. RESPONSIBILITIES AND QUALIFICATIONS Drive the analysis, design, and implementation of high performance e trading system enhancements to optimize commercial outcomes and market making capabilities. Ensure the safety, reliability, and resilience of critical trading infrastructure through rigorous testing and deployment practices. Collaborate effectively with traders, quantitative researchers, and other engineering teams to deliver innovative solutions that address complex business problems. Strategically prioritize and manage projects, balancing immediate business needs with long term architectural goals and technological advancements. Experience/Skills Minimum of 4 years of professional experience in software engineering, with a strong focus on high performance, low latency systems. Strong academic foundation in Computer Science, Engineering, Mathematics, Physics, or a related analytical discipline. Expertise in Java and/or C++, with a proven track record in developing and optimizing multi threaded and concurrent applications. Demonstrated experience in electronic trading or financial markets, understanding the commercial implications of system performance and reliability. Ability to analyze complex data sets to derive actionable commercial insights and drive system improvements. Excellent communication, collaboration, and problem solving skills. Experience of the following would be advantageous: Deep understanding of low latency system design, including network protocols, messaging frameworks, and hardware architecture considerations. Proficiency with Linux environments and command line tools for system analysis and debugging. Experience with performance tuning, profiling tools, and memory management for Java/C++ applications. Job Info Job Identification 162326 Job Category Vice President Posting Date 02/25/2026, 09:37 AM Locations London, Greater London, England, United Kingdom Healthcare & Medical Services We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally. We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state of the art on site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre approved amount). We offer on site child care centers that provide full time and emergency back up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs Read more about the full suite of class leading benefits our firm has to offer. Learn More
Feb 28, 2026
Full time
Global Banking & Markets - eTrading Engineer - Associate/Vice President - London Job Description GLOBAL BANKING AND MARKETS Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast paced, changing environments and are energized by a bustling trading floor. WHAT WE DO Engineers in the Systematic Market Making (SMM) team play an integral role on the trading floor. We develop and employ automated trading strategies for the firm and its clients. We build complex electronic pricing and trading systems, as well as tools to generate market signals. Throughout the Global Banking and Markets Division (GBM), eTrading Engineers use quantitative and technological techniques to solve complex business problems. As an eTrading Engineer, you will be building the foundational technologies to run those algorithms on markets around the world and to enable the research and analysis that support them. We are looking for developers who are interested in applying leading edge technologies to solve problems in electronic trading. In a team of energetic, self motivated individuals, we need someone who can take the initiative at any stage of the software cycle, from inception through development to release and support. This role also involves interaction with a variety of other engineering, strats, trading, and sales teams. The structure is flat, and the successful candidate will be able to manage their time for maximum impact. YOUR IMPACT You will be working on a team focused on electronic market making and execution. You will work with other engineers and traders to improve all aspects of price making, risk management and execution. You'll do this with a keen eye on performance, guided by a robust measurement framework and lots of experimentation. You will have an opportunity to develop a deep understanding of how GS interacts with some of the most dynamic and liquid markets in the world. RESPONSIBILITIES AND QUALIFICATIONS Drive the analysis, design, and implementation of high performance e trading system enhancements to optimize commercial outcomes and market making capabilities. Ensure the safety, reliability, and resilience of critical trading infrastructure through rigorous testing and deployment practices. Collaborate effectively with traders, quantitative researchers, and other engineering teams to deliver innovative solutions that address complex business problems. Strategically prioritize and manage projects, balancing immediate business needs with long term architectural goals and technological advancements. Experience/Skills Minimum of 4 years of professional experience in software engineering, with a strong focus on high performance, low latency systems. Strong academic foundation in Computer Science, Engineering, Mathematics, Physics, or a related analytical discipline. Expertise in Java and/or C++, with a proven track record in developing and optimizing multi threaded and concurrent applications. Demonstrated experience in electronic trading or financial markets, understanding the commercial implications of system performance and reliability. Ability to analyze complex data sets to derive actionable commercial insights and drive system improvements. Excellent communication, collaboration, and problem solving skills. Experience of the following would be advantageous: Deep understanding of low latency system design, including network protocols, messaging frameworks, and hardware architecture considerations. Proficiency with Linux environments and command line tools for system analysis and debugging. Experience with performance tuning, profiling tools, and memory management for Java/C++ applications. Job Info Job Identification 162326 Job Category Vice President Posting Date 02/25/2026, 09:37 AM Locations London, Greater London, England, United Kingdom Healthcare & Medical Services We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally. We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state of the art on site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre approved amount). We offer on site child care centers that provide full time and emergency back up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs Read more about the full suite of class leading benefits our firm has to offer. Learn More
Product Director page is loaded Product Directorlocations: London, United Kingdomtime type: Full timeposted on: Posted Todaytime left to apply: End Date: March 11, 2026 (12 days left to apply)job requisition id: RQuantile offers market-leading optimisation services that reduce counterparty risk, notional and capital requirements to increase the efficiency and liquidity of derivatives markets, improve returns for clients, and make the financial system safer.We are part of LSEG's Post Trade division, where we connect a network of participants and use advanced algorithms to reduce risk and release capital. Since launch, our services have eliminated trillions of dollars of gross notional through interest rate compression and billions of dollars in initial margin and capital requirements through counterparty risk optimisation.Our clients, including all the top tier global banks, regional banks, buy-side firms and other large institutional market participants, are serviced from offices in London, New York, Amsterdam and Tokyo Core Responsibilities - Technical & Product-Focused 1. Technical Service Execution & Analysis Perform detailed analysis of optimisation runs, risk movements and scenario behaviour to ensure accuracy, robustness and model validity. Investigate optimisation outputs and risk deltas; diagnose anomalies, model artefacts or constraint interactions. Develop and refine analytical frameworks for assessing optimisation efficiency, capital impacts and margin reductions. 2. Quantitative Product Design & Enhancement Contribute to the quantitative design of new optimisation methodologies, objective functions and constraint frameworks. Work closely with Engineering to specify model behaviour, mathematical logic, data requirements and performance expectations. Validate model changes and enhancements through rigorous testing, including scenario construction, boundary case probing and cross model comparisons. 3. Client-Facing Technical Expertise Explain the mechanics of margin, capital, and risk optimisation to clients with varying degrees of quantitative sophistication. Translate optimisation outputs into clear insights: why certain optimisation solutions emerged, how constraints influenced results, and how client portfolios could be configured to improve outcomes. Support client onboarding by providing deep technical input into data structures, CRIF interpretations, and modelling assumptions. Engage with clients and Relationship Managers to gather quantitative feedback and translate it into structured product requirements. 4. Cross-Functional Technical Collaboration Partner with the Engineering team to troubleshoot modelling issues, reconcile discrepancies, review algorithmic behaviour, and contribute to model improvements. Provide detailed specifications and logic walkthroughs for new features or enhancements. Assist with internal reviews of new optimisation capabilities, providing technical sign off based on validation results. 5. Market, Risk & Regulatory Knowledge Integration Apply strong understanding of cleared and uncleared margin models (SIMM, LCH, CME, Eurex), leverage ratio, SA CCR, IMM, RWA, CCAR etc. to guide optimisation approach. Monitor industry developments that impact risk modelling, margin frameworks or data structures, ensuring the service evolves in line with market and regulatory expectations. Qualifications & Experience (Revised for Technical Focus) 10+ years in a highly quantitative role such as XVA, derivatives structuring, risk modelling, or trading. Deep technical understanding of IR, FX or equity derivatives pricing, sensitivities, and risk decomposition. Strong familiarity with cleared/uncleared margin models (SIMM, CCP IM), capital frameworks and exposure methodologies. Demonstrated ability to work closely with quantitative engineers and developers on model behaviour and implementation details. Excellent communication skills to act as a technical translator between quantitative concepts, engineering constraints, and client needs. Degree (or advanced degree) in a quantitative discipline (Maths, Physics, Engineering, Computer Science). Strong analytical mindset; able to deconstruct complex optimisation behaviour and provide clear, data driven explanations. Career Stage: Director London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, .If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.locations: London, United Kingdomtime type: Full timeposted on: Posted 30 Days AgoLSEG (London Stock Exchange Group) is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our culture of connecting, creating opportunity and delivering excellence shapes how we think, how we do things and how we help our people fulfil their potential.
Feb 28, 2026
Full time
Product Director page is loaded Product Directorlocations: London, United Kingdomtime type: Full timeposted on: Posted Todaytime left to apply: End Date: March 11, 2026 (12 days left to apply)job requisition id: RQuantile offers market-leading optimisation services that reduce counterparty risk, notional and capital requirements to increase the efficiency and liquidity of derivatives markets, improve returns for clients, and make the financial system safer.We are part of LSEG's Post Trade division, where we connect a network of participants and use advanced algorithms to reduce risk and release capital. Since launch, our services have eliminated trillions of dollars of gross notional through interest rate compression and billions of dollars in initial margin and capital requirements through counterparty risk optimisation.Our clients, including all the top tier global banks, regional banks, buy-side firms and other large institutional market participants, are serviced from offices in London, New York, Amsterdam and Tokyo Core Responsibilities - Technical & Product-Focused 1. Technical Service Execution & Analysis Perform detailed analysis of optimisation runs, risk movements and scenario behaviour to ensure accuracy, robustness and model validity. Investigate optimisation outputs and risk deltas; diagnose anomalies, model artefacts or constraint interactions. Develop and refine analytical frameworks for assessing optimisation efficiency, capital impacts and margin reductions. 2. Quantitative Product Design & Enhancement Contribute to the quantitative design of new optimisation methodologies, objective functions and constraint frameworks. Work closely with Engineering to specify model behaviour, mathematical logic, data requirements and performance expectations. Validate model changes and enhancements through rigorous testing, including scenario construction, boundary case probing and cross model comparisons. 3. Client-Facing Technical Expertise Explain the mechanics of margin, capital, and risk optimisation to clients with varying degrees of quantitative sophistication. Translate optimisation outputs into clear insights: why certain optimisation solutions emerged, how constraints influenced results, and how client portfolios could be configured to improve outcomes. Support client onboarding by providing deep technical input into data structures, CRIF interpretations, and modelling assumptions. Engage with clients and Relationship Managers to gather quantitative feedback and translate it into structured product requirements. 4. Cross-Functional Technical Collaboration Partner with the Engineering team to troubleshoot modelling issues, reconcile discrepancies, review algorithmic behaviour, and contribute to model improvements. Provide detailed specifications and logic walkthroughs for new features or enhancements. Assist with internal reviews of new optimisation capabilities, providing technical sign off based on validation results. 5. Market, Risk & Regulatory Knowledge Integration Apply strong understanding of cleared and uncleared margin models (SIMM, LCH, CME, Eurex), leverage ratio, SA CCR, IMM, RWA, CCAR etc. to guide optimisation approach. Monitor industry developments that impact risk modelling, margin frameworks or data structures, ensuring the service evolves in line with market and regulatory expectations. Qualifications & Experience (Revised for Technical Focus) 10+ years in a highly quantitative role such as XVA, derivatives structuring, risk modelling, or trading. Deep technical understanding of IR, FX or equity derivatives pricing, sensitivities, and risk decomposition. Strong familiarity with cleared/uncleared margin models (SIMM, CCP IM), capital frameworks and exposure methodologies. Demonstrated ability to work closely with quantitative engineers and developers on model behaviour and implementation details. Excellent communication skills to act as a technical translator between quantitative concepts, engineering constraints, and client needs. Degree (or advanced degree) in a quantitative discipline (Maths, Physics, Engineering, Computer Science). Strong analytical mindset; able to deconstruct complex optimisation behaviour and provide clear, data driven explanations. Career Stage: Director London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.Please take a moment to read this carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, .If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.locations: London, United Kingdomtime type: Full timeposted on: Posted 30 Days AgoLSEG (London Stock Exchange Group) is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our culture of connecting, creating opportunity and delivering excellence shapes how we think, how we do things and how we help our people fulfil their potential.
Data Scientist (NLP & LLM Specialist) Remote- UK 6-month contract with Potential Extension Day rate - 427.68 - 565 per day Inside IR35 Data Scientist (NLP & LLM Specialist) Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers. The Opportunity In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets. Your Impact Model Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes. Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment. Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data. Technical Translation: Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions. Your Experience Experience Level: 5-7+ years (More experience is welcomed). Core Technicals: High expertise in Python and Machine Learning (ML) . NLP Expertise: 3-5 years of experience in Natural Language Processing. AI Knowledge: Familiarity with LangChain and LlamaIndex . The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch. Deployment: Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting. Industry Knowledge: Experience with Risk Modeling or financial services is preferred. This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. Co. uk Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Feb 28, 2026
Contractor
Data Scientist (NLP & LLM Specialist) Remote- UK 6-month contract with Potential Extension Day rate - 427.68 - 565 per day Inside IR35 Data Scientist (NLP & LLM Specialist) Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers. The Opportunity In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets. Your Impact Model Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes. Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment. Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data. Technical Translation: Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions. Your Experience Experience Level: 5-7+ years (More experience is welcomed). Core Technicals: High expertise in Python and Machine Learning (ML) . NLP Expertise: 3-5 years of experience in Natural Language Processing. AI Knowledge: Familiarity with LangChain and LlamaIndex . The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch. Deployment: Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting. Industry Knowledge: Experience with Risk Modeling or financial services is preferred. This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. Co. uk Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Job Description We're looking for a senior technical leader to help drive the evolution of a complex, business-critical trading platform within a tier-one investment bank. This role is focused on understanding an existing legacy system - rich in workflow, automation, pricing, booking, and client connectivity - and defining a clear, practical technical roadmap that delivers immediate business value while steadily moving the platform toward its long-term strategic architecture. You'll work closely with engineering teams, quant partners, and senior stakeholders to assess how the platform operates today, including nuanced pre-trade and post-trade flows and bespoke, client-specific FIX implementations. A target architecture is also being defined in parallel, and a key part of this role is evolving the current stack so that it's ready to be migrated to the new platform - identifying dependencies, reducing unnecessary complexity, and ensuring the transition can happen incrementally without disrupting live trading. This is not a greenfield role. Success comes from adding value immediately within a large, demanding codebase - understanding existing Java and .NET systems well enough to reason about trade-offs, guide refactoring or selective rewrites, and make sound architectural decisions under pressure. The roadmap you produce is as important as the changes themselves. A strong candidate will actively embrace agentic AI tooling as a force multiplier - not just to accelerate development, but to rapidly comprehend unfamiliar systems, trace behaviour across services, uncover hidden dependencies, and validate architectural thinking. Combined with deep equities domain knowledge and experience building large-scale distributed systems, this role offers the chance to spearhead meaningful, pragmatic change within a high-impact trading environment. Core skills Ability to assess complex legacy systems, define pragmatic technical roadmaps, and drive incremental modernization toward a strategic target platform. Experience delivering incremental modernization of live, revenue-critical systems under active business demand Experience preparing legacy systems for migration to a target architecture, including dependency analysis, interface stabilisation, and incremental decoupling Strong knowledge of the investment banking domain, with hands on experience in equities pre trade and post trade systems Experience integrating and supporting front office, in house quantitative libraries developed by desk quants within production environments Proactive in using agentic AI tools to accelerate understanding of large, unfamiliar codebases and complex system behaviour, not just development. Comfortable reading and reasoning about large Java and .NET codebases to inform architectural decisions, modernization strategy, and platform transition planning London based, with on site presence required 3 days per week minimum Nice to have Experience with FIX protocol and client connectivity patterns Familiarity with message brokers (Kafka, Solace) and event driven architectures Prior consulting experience or comfort operating across multiple stakeholder groups WFH? This role is hybrid - with on site presence required 3 days per week minimum in London, Canary Wharf. Contract type Both permanent and contract arrangements considered. Eligibility We can only consider candidates who have the right to work in the UK and do not require visa sponsorship. Applicants must be UK based and within a commutable distance to London. Interested? Email with your CV and a brief introduction. Even if you're not sure you tick every box, we'd still love to hear from you - we're always keen to meet passionate, technically curious developers and engineering leads and can keep you in mind for future projects if this one isn't the right fit.
Feb 28, 2026
Full time
Job Description We're looking for a senior technical leader to help drive the evolution of a complex, business-critical trading platform within a tier-one investment bank. This role is focused on understanding an existing legacy system - rich in workflow, automation, pricing, booking, and client connectivity - and defining a clear, practical technical roadmap that delivers immediate business value while steadily moving the platform toward its long-term strategic architecture. You'll work closely with engineering teams, quant partners, and senior stakeholders to assess how the platform operates today, including nuanced pre-trade and post-trade flows and bespoke, client-specific FIX implementations. A target architecture is also being defined in parallel, and a key part of this role is evolving the current stack so that it's ready to be migrated to the new platform - identifying dependencies, reducing unnecessary complexity, and ensuring the transition can happen incrementally without disrupting live trading. This is not a greenfield role. Success comes from adding value immediately within a large, demanding codebase - understanding existing Java and .NET systems well enough to reason about trade-offs, guide refactoring or selective rewrites, and make sound architectural decisions under pressure. The roadmap you produce is as important as the changes themselves. A strong candidate will actively embrace agentic AI tooling as a force multiplier - not just to accelerate development, but to rapidly comprehend unfamiliar systems, trace behaviour across services, uncover hidden dependencies, and validate architectural thinking. Combined with deep equities domain knowledge and experience building large-scale distributed systems, this role offers the chance to spearhead meaningful, pragmatic change within a high-impact trading environment. Core skills Ability to assess complex legacy systems, define pragmatic technical roadmaps, and drive incremental modernization toward a strategic target platform. Experience delivering incremental modernization of live, revenue-critical systems under active business demand Experience preparing legacy systems for migration to a target architecture, including dependency analysis, interface stabilisation, and incremental decoupling Strong knowledge of the investment banking domain, with hands on experience in equities pre trade and post trade systems Experience integrating and supporting front office, in house quantitative libraries developed by desk quants within production environments Proactive in using agentic AI tools to accelerate understanding of large, unfamiliar codebases and complex system behaviour, not just development. Comfortable reading and reasoning about large Java and .NET codebases to inform architectural decisions, modernization strategy, and platform transition planning London based, with on site presence required 3 days per week minimum Nice to have Experience with FIX protocol and client connectivity patterns Familiarity with message brokers (Kafka, Solace) and event driven architectures Prior consulting experience or comfort operating across multiple stakeholder groups WFH? This role is hybrid - with on site presence required 3 days per week minimum in London, Canary Wharf. Contract type Both permanent and contract arrangements considered. Eligibility We can only consider candidates who have the right to work in the UK and do not require visa sponsorship. Applicants must be UK based and within a commutable distance to London. Interested? Email with your CV and a brief introduction. Even if you're not sure you tick every box, we'd still love to hear from you - we're always keen to meet passionate, technically curious developers and engineering leads and can keep you in mind for future projects if this one isn't the right fit.
400 per day - inside IR35 Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers. The Opportunity In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets. Your Impact Model Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes. Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment. Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data. Technical Translation: Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions. Your Experience Experience Level: 5-7+ years (More experience is welcomed). Core Technicals: High expertise in Python and Machine Learning (ML) . NLP Expertise: 3-5 years of experience in Natural Language Processing. AI Knowledge: Familiarity with LangChain and LlamaIndex . The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch. Deployment: Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting.
Feb 27, 2026
Contractor
400 per day - inside IR35 Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers. The Opportunity In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets. Your Impact Model Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes. Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment. Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data. Technical Translation: Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions. Your Experience Experience Level: 5-7+ years (More experience is welcomed). Core Technicals: High expertise in Python and Machine Learning (ML) . NLP Expertise: 3-5 years of experience in Natural Language Processing. AI Knowledge: Familiarity with LangChain and LlamaIndex . The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch. Deployment: Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting.
FULLY REMOTE Product Manager required with proven experience delivering a full product end-to-end within a SaaS environment. In this fully remote role, you will take responsibility for one SaaS product area, setting direction, defining the roadmap and driving it through build, release and iteration. This role is not suitable for candidates who have only managed features or components. The product is a SaaS solution built on the Atlassian platform and uses Jira. You will work in Jira and Jira Work Management as part of an Atlassian-based environment, so you should be comfortable operating within Atlassian tools and Jira workflows. Requirements: Proven Product Manager, potentially holding titles such as Senior Product Manager or Product Owner End-to-end ownership of a SaaS product from strategy through release and iteration Full product lifecycle management rather than isolated feature delivery Independent roadmap definition and prioritisation Hands-on familiarity with Atlassian and Jira Detailed product specifications and structured user stories Release planning, documentation and training materials Product gap and competitive analysis Data-led decision making using qualitative and quantitative inputs Clear communication across technical and non-technical teams Translation of developer use cases into APIs and structured features Google Tag Manager, Google Analytics, SQL, Python or similar If you are an experienced Product Manager with SaaS experience and a background working with Atlassian products, including Jira, get in touch to find out more.
Feb 27, 2026
Full time
FULLY REMOTE Product Manager required with proven experience delivering a full product end-to-end within a SaaS environment. In this fully remote role, you will take responsibility for one SaaS product area, setting direction, defining the roadmap and driving it through build, release and iteration. This role is not suitable for candidates who have only managed features or components. The product is a SaaS solution built on the Atlassian platform and uses Jira. You will work in Jira and Jira Work Management as part of an Atlassian-based environment, so you should be comfortable operating within Atlassian tools and Jira workflows. Requirements: Proven Product Manager, potentially holding titles such as Senior Product Manager or Product Owner End-to-end ownership of a SaaS product from strategy through release and iteration Full product lifecycle management rather than isolated feature delivery Independent roadmap definition and prioritisation Hands-on familiarity with Atlassian and Jira Detailed product specifications and structured user stories Release planning, documentation and training materials Product gap and competitive analysis Data-led decision making using qualitative and quantitative inputs Clear communication across technical and non-technical teams Translation of developer use cases into APIs and structured features Google Tag Manager, Google Analytics, SQL, Python or similar If you are an experienced Product Manager with SaaS experience and a background working with Atlassian products, including Jira, get in touch to find out more.
RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. Founded in 2012, and now operating in 90+ markets, RTB House has always been private by design. It embraces first party advertising and a relentless approach to innovation. RTB House offers end to end Deep Learning powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long term demand for a global base of clients. You Will: Identify new sales opportunities and convert them into RTB House clients Manage relationships with senior budget owners and decision makers of the biggest gaming studios, developers, and agencies across relevant genres to help them boost re engagement and revenue Devise strategies on how to acquire new partnerships by handling all aspects of the sales cycle from prospecting to closing Deliver high quality customer relationship management, satisfaction, and interaction Provide accurate forecasts to internal RTB House stakeholders and report regularly on the progress status, budget, and goals realization Attend and leverage key relevant industry events to further boost RTB House brand recognition Develop professional and technical knowledge by attending international training sessions Partner with RTB House HQ, account management, creative, legal, tech and other relevant teams Devise strategies and suggest solutions to complex problems coming from the clients, and develop the organization gaming subject matter expertise Help clients improve advertising strategy and provide relevant recommendations Constantly develop industry knowledge and stay up to date with digital advertising trends with particular focus on the gaming environment, esp. but not solely in app Negotiate win win sustainable/evergreen/business as usual campaign conditions based on client needs, product knowledge and own experience Desired Experience: Extensive successful B2B sales experience, ideally in mobile gaming growth advertising industry, esp. in app gaming performance retargeting and re engagement Deep understanding of the RTB retargeting process from a full service (managed) DSP perspective High EQ level, maturity, and ability to build lasting C suites relationships with marketing budget owners and other decision makers and stakeholders based on experience in a mobile gaming domain and in independently winning strategic top opportunity type of clients' accounts Broad business contacts network within relevant top gaming studios / publishers partners Ability to cooperate and communicate smoothly with various internal and external stakeholders, esp. to handle customers' needs and expectations in terms of qualitative and quantitative goals to ensure sustainable win win cooperation at scale Strong analytical skills and resourcefulness with ability to solve problems independently Excellent time management with quality first and can do attitude Ability to cooperate and communicate smoothly and concisely to deliver excellent results in a fast paced time sensitive environment, as well as to deeply understand customer needs Strong results orientation, consultative approach, persistency, and ability to work independently, being able to self motivate while facing often challenging business development reality While native or fluent English (written and spoken) is a must, high level of communication, persuasion, and negotiations skills in other languages of our relevant potential prospects is a strong advantage Establishing own business venture or startup in the past will be an advantage Genuine interest in mobile growth, gaming, and latest AI technologies applications We Offer: Opportunity to strategically co create one of the most exciting success stories in the industry at one of the fastest growing and multiple awards winning global AdTech Direct cooperation with tier one games publishers' flagship titles to enable our further fast expansion Joining the global innovations leader rethinking AdTech with the world's only market leading state of the art 100% deep learning algorithms powered retargeting technology A rewarding career in a friendly and inspiring atmosphere with no corporate habits and a growing dynamic multi cultural team of leading MarTech professionals learning from each other with the joint goal to win on the red ocean of a perspective video gaming programmatic advertising market Attractive compensation package based on experience and performance Training program, budget, and the tools necessary to develop professional skills and personally Full flexibility in terms of remote work location Fully responsible, high potential position within high tech marketing and business development area
Feb 27, 2026
Full time
RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. Founded in 2012, and now operating in 90+ markets, RTB House has always been private by design. It embraces first party advertising and a relentless approach to innovation. RTB House offers end to end Deep Learning powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long term demand for a global base of clients. You Will: Identify new sales opportunities and convert them into RTB House clients Manage relationships with senior budget owners and decision makers of the biggest gaming studios, developers, and agencies across relevant genres to help them boost re engagement and revenue Devise strategies on how to acquire new partnerships by handling all aspects of the sales cycle from prospecting to closing Deliver high quality customer relationship management, satisfaction, and interaction Provide accurate forecasts to internal RTB House stakeholders and report regularly on the progress status, budget, and goals realization Attend and leverage key relevant industry events to further boost RTB House brand recognition Develop professional and technical knowledge by attending international training sessions Partner with RTB House HQ, account management, creative, legal, tech and other relevant teams Devise strategies and suggest solutions to complex problems coming from the clients, and develop the organization gaming subject matter expertise Help clients improve advertising strategy and provide relevant recommendations Constantly develop industry knowledge and stay up to date with digital advertising trends with particular focus on the gaming environment, esp. but not solely in app Negotiate win win sustainable/evergreen/business as usual campaign conditions based on client needs, product knowledge and own experience Desired Experience: Extensive successful B2B sales experience, ideally in mobile gaming growth advertising industry, esp. in app gaming performance retargeting and re engagement Deep understanding of the RTB retargeting process from a full service (managed) DSP perspective High EQ level, maturity, and ability to build lasting C suites relationships with marketing budget owners and other decision makers and stakeholders based on experience in a mobile gaming domain and in independently winning strategic top opportunity type of clients' accounts Broad business contacts network within relevant top gaming studios / publishers partners Ability to cooperate and communicate smoothly with various internal and external stakeholders, esp. to handle customers' needs and expectations in terms of qualitative and quantitative goals to ensure sustainable win win cooperation at scale Strong analytical skills and resourcefulness with ability to solve problems independently Excellent time management with quality first and can do attitude Ability to cooperate and communicate smoothly and concisely to deliver excellent results in a fast paced time sensitive environment, as well as to deeply understand customer needs Strong results orientation, consultative approach, persistency, and ability to work independently, being able to self motivate while facing often challenging business development reality While native or fluent English (written and spoken) is a must, high level of communication, persuasion, and negotiations skills in other languages of our relevant potential prospects is a strong advantage Establishing own business venture or startup in the past will be an advantage Genuine interest in mobile growth, gaming, and latest AI technologies applications We Offer: Opportunity to strategically co create one of the most exciting success stories in the industry at one of the fastest growing and multiple awards winning global AdTech Direct cooperation with tier one games publishers' flagship titles to enable our further fast expansion Joining the global innovations leader rethinking AdTech with the world's only market leading state of the art 100% deep learning algorithms powered retargeting technology A rewarding career in a friendly and inspiring atmosphere with no corporate habits and a growing dynamic multi cultural team of leading MarTech professionals learning from each other with the joint goal to win on the red ocean of a perspective video gaming programmatic advertising market Attractive compensation package based on experience and performance Training program, budget, and the tools necessary to develop professional skills and personally Full flexibility in terms of remote work location Fully responsible, high potential position within high tech marketing and business development area
A leading Tech driven Exchange based in London is expanding its current high performance team in London. You will work on their state of art ultra-low latency trading systems across asset classes (equities, commodities, currencies, fixed income) that trade on global exchanges. The role: Design, develop and test proprietary software in C++ Trading strategy simulation software optimized for distributed computation. Large scale data acquisition, storage, accessibility, and visualization. Real time trade management and risk analysis. Identify innovative solutions to complex problems and advocate for their implementation to your team by communicating your ideas in a clear and concise manner. Collaborate with other software developers, quantitative traders, and researchers in cross-functional team environments. You need: 5+ years of hands on Software Development experience in C++, STL, Boost, Linux. A good understanding of networking, multicasting, UDP. A passion for new technologies and ideas. Strong understanding of data-structures & algorithms. Good working knowledge of Python. You must be living in the UK with full right to work, and you can commit to at least 3 days in the office. (London) Contact Ciara Clarke for a confidential discussion on this role.
Feb 26, 2026
Full time
A leading Tech driven Exchange based in London is expanding its current high performance team in London. You will work on their state of art ultra-low latency trading systems across asset classes (equities, commodities, currencies, fixed income) that trade on global exchanges. The role: Design, develop and test proprietary software in C++ Trading strategy simulation software optimized for distributed computation. Large scale data acquisition, storage, accessibility, and visualization. Real time trade management and risk analysis. Identify innovative solutions to complex problems and advocate for their implementation to your team by communicating your ideas in a clear and concise manner. Collaborate with other software developers, quantitative traders, and researchers in cross-functional team environments. You need: 5+ years of hands on Software Development experience in C++, STL, Boost, Linux. A good understanding of networking, multicasting, UDP. A passion for new technologies and ideas. Strong understanding of data-structures & algorithms. Good working knowledge of Python. You must be living in the UK with full right to work, and you can commit to at least 3 days in the office. (London) Contact Ciara Clarke for a confidential discussion on this role.
Senior Consultant - IoT & Smart BuildingsJob ID255915Posted18-Feb-2026Service lineAdvisory SegmentRole typeFull-timeAreas of InterestConsultingLocation(s)London - England - United Kingdom of Great Britain and Northern Ireland Role Purpose CBRE's Digital Advisory team sits at the forefront of transforming the built environment through technology and data. We partner with clients - including investors, developers, occupiers, and public bodies - across the full real estate lifecycle to develop and implement innovative digital strategies. Our approach is business-led, focusing on identifying the right digital solutions to drive value, enhance performance, and achieve sustainability objectives for people, planet, and places. We take a strategic approach to identify the best digital solutions, shaping the strategy, informing the business case, and implementing sustainable digital change. We advise on a range of topics, including smart building solutions, data analytics, digital workplace, integration platforms, and emerging technologies like Digital Twins and IoT.We are seeking a Senior Consultant to join our Digital Advisory team. You would have experience in Digital Strategy, Technology Solutioning and Digital Transformation, including; SMART Buildings, The Internet of Things and Intelligent Building Systems and an awareness of emerging PropTech trends. Real estate sector experience preferable.The Digital Advisory team sits within our Strategic Transformation capabilities at CBRE. Our Strategic Transformation team offers market-leading expertise to help clients develop successful business strategies, make informed decisions, and implement robust programs. We serve industry-leading organisations, covering the full lifecycle from strategic visioning to implementation and exit.At CBRE, you'll be part of a global powerhouse that is redefining the future of real estate. We offer a dynamic and entrepreneurial culture, challenging work, and unparalleled opportunities for growth and development. You'll work with an exceptional portfolio of clients, leveraging the industry's most robust platform and collaborating with leading experts to make a real-world impact. We invest in our employees' well-being and provide a supportive and inclusive environment where every individual is encouraged to reach their full potential.CBRE Strategic Transformation (ST) team offers market-leading expertise to help clients develop successful business strategies, make informed decisions, and implement robust programs. We serve industry-leading organisations across the Investor, Developer, Occupier, Operator, and Public sectors, covering the full lifecycle from strategic visioning to implementation and exit. Our diverse team includes experts in business strategy, commercial management, strategic program management, business transformation, digital, and real asset advisory. Client service excellence lies at the heart of everything we do. We foster a distinct, inclusive, and entrepreneurial culture, supporting each individual to achieve their full potential. We promote hybrid working and offer industry-leading family and wellbeing policies.The Digital Transformation pillar within Strategic Advisory helps clients leverage data and digital solutions to drive business value. We take a strategic approach to identify the best digital solutions, shaping the strategy, informing the business case, and implementing sustainable digital change. This opportunity relates to a Senior Consultant role within our Digital Transformation pillar. Experience in Digital Strategy, Solutioning and Transformation, including; SMART Buildings, The Internet of Things and Intelligent Building Systems and an awareness of emerging PropTech trends is essential. Real estate sector experience preferable. Key Responsibilities - Project Delivery: Responsible for day-to-day project management, including owning deliverables and supporting junior team members. Ensuring objectives are met on time, within budget, and to quality expectations.- Project Deliverables: Lead on structing client facing outputs and delivering these to a high standard including preparing clear, robust client reports, strategies and business plans- Data Analysis: Use quantitative analysis and qualitative methods to assess client situations and devise recommended strategies and solutions, drawing out key messages and recommendations for clients- User Centric Design: Develop personas and map user journeys to establish a deep understanding of bottom-up needs to facilitate enhanced user experiences.- Client Engagement: Develop and maintain effective relationships with clients, stakeholders and partners. Engage with clients to understand their strategic objectives, priorities, opportunities and constraints - utilising toolkits and frameworks where relevant- Consultation and Strategy Development: Engage with senior technical stakeholders to create visions, 'objectives and key results' (OKRs) use cases and roadmaps. Provide guidance on innovative technologies that align to business requirements.- Governance & Reporting: Supporting internal CBRE reporting processes- Business Development: Able to understand client need and support the creation of proposals and pitches and market-facing material e.g. Thought Leadership. Digital Specific Skills (not all essential): - Experience with IoT/Connected Assets- Experience with Smart building technology and governance- Experience in developing Digital Transformation Strategies, and Digital Solutioning- Experience in developing Digital Product Requirements- Agile Management Certified- Awareness of emerging PropTech trends such as AI, FDD, digital twins etc Person Specification / Requirements - Experience working within a major management consultancy or other relevant business environment- Passion for the build environment and a keen interest in digital and technology including emerging technologies and their potential benefits and application in real estate- Articulate with good written and oral communication skills, including experience of preparing reports and presentations- Excellent graphical presentation skills using MS authoring suite- Structured approach to problem-solving- Numerate and able to support quantitative analysis- Attention to detail and commitment to achieving high quality client deliverables- Flexible and adaptable to changing priorities- Entrepreneurial and enquiring mindset- Good interpersonal skills and a genuine belief in collaboration- Ability to work unsupervised and prioritise own time where necessary. At times would be expected to work autonomously on a solo commission or collaborate as part of a team. Why CBRE When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward-thinking professionals who create significant impact. Our collaborative culture is built on our shared values - respect, integrity, service and excellence - and we value the diverse perspectives, backgrounds and skillsets of our people. At CBRE, you have the opportunity to chart your own course and realise your potential. We welcome all applicants. Applicant AI Use Disclosure We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process. Equal Opportunities We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age. For information about accommodations we can make during
Feb 24, 2026
Full time
Senior Consultant - IoT & Smart BuildingsJob ID255915Posted18-Feb-2026Service lineAdvisory SegmentRole typeFull-timeAreas of InterestConsultingLocation(s)London - England - United Kingdom of Great Britain and Northern Ireland Role Purpose CBRE's Digital Advisory team sits at the forefront of transforming the built environment through technology and data. We partner with clients - including investors, developers, occupiers, and public bodies - across the full real estate lifecycle to develop and implement innovative digital strategies. Our approach is business-led, focusing on identifying the right digital solutions to drive value, enhance performance, and achieve sustainability objectives for people, planet, and places. We take a strategic approach to identify the best digital solutions, shaping the strategy, informing the business case, and implementing sustainable digital change. We advise on a range of topics, including smart building solutions, data analytics, digital workplace, integration platforms, and emerging technologies like Digital Twins and IoT.We are seeking a Senior Consultant to join our Digital Advisory team. You would have experience in Digital Strategy, Technology Solutioning and Digital Transformation, including; SMART Buildings, The Internet of Things and Intelligent Building Systems and an awareness of emerging PropTech trends. Real estate sector experience preferable.The Digital Advisory team sits within our Strategic Transformation capabilities at CBRE. Our Strategic Transformation team offers market-leading expertise to help clients develop successful business strategies, make informed decisions, and implement robust programs. We serve industry-leading organisations, covering the full lifecycle from strategic visioning to implementation and exit.At CBRE, you'll be part of a global powerhouse that is redefining the future of real estate. We offer a dynamic and entrepreneurial culture, challenging work, and unparalleled opportunities for growth and development. You'll work with an exceptional portfolio of clients, leveraging the industry's most robust platform and collaborating with leading experts to make a real-world impact. We invest in our employees' well-being and provide a supportive and inclusive environment where every individual is encouraged to reach their full potential.CBRE Strategic Transformation (ST) team offers market-leading expertise to help clients develop successful business strategies, make informed decisions, and implement robust programs. We serve industry-leading organisations across the Investor, Developer, Occupier, Operator, and Public sectors, covering the full lifecycle from strategic visioning to implementation and exit. Our diverse team includes experts in business strategy, commercial management, strategic program management, business transformation, digital, and real asset advisory. Client service excellence lies at the heart of everything we do. We foster a distinct, inclusive, and entrepreneurial culture, supporting each individual to achieve their full potential. We promote hybrid working and offer industry-leading family and wellbeing policies.The Digital Transformation pillar within Strategic Advisory helps clients leverage data and digital solutions to drive business value. We take a strategic approach to identify the best digital solutions, shaping the strategy, informing the business case, and implementing sustainable digital change. This opportunity relates to a Senior Consultant role within our Digital Transformation pillar. Experience in Digital Strategy, Solutioning and Transformation, including; SMART Buildings, The Internet of Things and Intelligent Building Systems and an awareness of emerging PropTech trends is essential. Real estate sector experience preferable. Key Responsibilities - Project Delivery: Responsible for day-to-day project management, including owning deliverables and supporting junior team members. Ensuring objectives are met on time, within budget, and to quality expectations.- Project Deliverables: Lead on structing client facing outputs and delivering these to a high standard including preparing clear, robust client reports, strategies and business plans- Data Analysis: Use quantitative analysis and qualitative methods to assess client situations and devise recommended strategies and solutions, drawing out key messages and recommendations for clients- User Centric Design: Develop personas and map user journeys to establish a deep understanding of bottom-up needs to facilitate enhanced user experiences.- Client Engagement: Develop and maintain effective relationships with clients, stakeholders and partners. Engage with clients to understand their strategic objectives, priorities, opportunities and constraints - utilising toolkits and frameworks where relevant- Consultation and Strategy Development: Engage with senior technical stakeholders to create visions, 'objectives and key results' (OKRs) use cases and roadmaps. Provide guidance on innovative technologies that align to business requirements.- Governance & Reporting: Supporting internal CBRE reporting processes- Business Development: Able to understand client need and support the creation of proposals and pitches and market-facing material e.g. Thought Leadership. Digital Specific Skills (not all essential): - Experience with IoT/Connected Assets- Experience with Smart building technology and governance- Experience in developing Digital Transformation Strategies, and Digital Solutioning- Experience in developing Digital Product Requirements- Agile Management Certified- Awareness of emerging PropTech trends such as AI, FDD, digital twins etc Person Specification / Requirements - Experience working within a major management consultancy or other relevant business environment- Passion for the build environment and a keen interest in digital and technology including emerging technologies and their potential benefits and application in real estate- Articulate with good written and oral communication skills, including experience of preparing reports and presentations- Excellent graphical presentation skills using MS authoring suite- Structured approach to problem-solving- Numerate and able to support quantitative analysis- Attention to detail and commitment to achieving high quality client deliverables- Flexible and adaptable to changing priorities- Entrepreneurial and enquiring mindset- Good interpersonal skills and a genuine belief in collaboration- Ability to work unsupervised and prioritise own time where necessary. At times would be expected to work autonomously on a solo commission or collaborate as part of a team. Why CBRE When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward-thinking professionals who create significant impact. Our collaborative culture is built on our shared values - respect, integrity, service and excellence - and we value the diverse perspectives, backgrounds and skillsets of our people. At CBRE, you have the opportunity to chart your own course and realise your potential. We welcome all applicants. Applicant AI Use Disclosure We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process. Equal Opportunities We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age. For information about accommodations we can make during
C++ Quant Developer - Fixed Income Strategies Group - VP Department Overview The Fixed Income Division (FID) is comprised of Interest Rate and Currency Products, Credit Products, Securitized Products, and Municipal Securities. Professionals in the Division assess and actively manage risk, trade securities, and structure as well as execute innovative transactions in the fast paced and constantly changing global markets. The Commodities Division is a market leader in energy, metals, and agricultural product trading worldwide whose professionals' trade in both physical and derivative commodity risk. About Morgan Stanley Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. We can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture. What will you be doing? The FID Quant Dev team are a cross asset team within FID strats who deliver technical and software engineering expertise to the full set of strat teams to allow them to deliver cutting edge models to the trading business efficiently and with confidence in their robustness and performance. The team has a focus on safeguarding the quality, performance and reliability of all the analytic software delivered by FID Strats and on encouraging consistency and the adoption of development best practices. The role requires excellent C++ development skills and an ability to work with diverse partners and clients. This is an ideal role for an experienced C++ developer looking to gain insights into financial markets development. What we're looking for: A degree in a quantitative area or technology such as Mathematics, Physics or Computer Science. Experienced programming skills in C++ and a track record of successful development projects in a structured environment. Experience with inter-process communication logic and/or distributed computation would be a benefit. Experience on both Windows and Linux development platforms required. Python and Java experience also beneficial. Solid problem solving skills and mathematical intuition and an interest in the financial industry. Excellent communication skills and experience of working with diverse stakeholders and clients. Flexible work statement Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more. Internal Applicants Internal mobility can be a way to grow your career and realize your professional potential. Typically, you must be in your position for at least 18 months and performing satisfactorily before applying for another job at the Firm. Internal applicants can find out more regarding career navigation, mobility guidelines and policy on our employee portal by clicking here. Equal opportunities statement Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. What you can expect from Morgan Stanley We are committed to maintaining the first class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste into your browser. Certified Persons Regulatory Requirements If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.
Feb 17, 2026
Full time
C++ Quant Developer - Fixed Income Strategies Group - VP Department Overview The Fixed Income Division (FID) is comprised of Interest Rate and Currency Products, Credit Products, Securitized Products, and Municipal Securities. Professionals in the Division assess and actively manage risk, trade securities, and structure as well as execute innovative transactions in the fast paced and constantly changing global markets. The Commodities Division is a market leader in energy, metals, and agricultural product trading worldwide whose professionals' trade in both physical and derivative commodity risk. About Morgan Stanley Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. We can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture. What will you be doing? The FID Quant Dev team are a cross asset team within FID strats who deliver technical and software engineering expertise to the full set of strat teams to allow them to deliver cutting edge models to the trading business efficiently and with confidence in their robustness and performance. The team has a focus on safeguarding the quality, performance and reliability of all the analytic software delivered by FID Strats and on encouraging consistency and the adoption of development best practices. The role requires excellent C++ development skills and an ability to work with diverse partners and clients. This is an ideal role for an experienced C++ developer looking to gain insights into financial markets development. What we're looking for: A degree in a quantitative area or technology such as Mathematics, Physics or Computer Science. Experienced programming skills in C++ and a track record of successful development projects in a structured environment. Experience with inter-process communication logic and/or distributed computation would be a benefit. Experience on both Windows and Linux development platforms required. Python and Java experience also beneficial. Solid problem solving skills and mathematical intuition and an interest in the financial industry. Excellent communication skills and experience of working with diverse stakeholders and clients. Flexible work statement Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more. Internal Applicants Internal mobility can be a way to grow your career and realize your professional potential. Typically, you must be in your position for at least 18 months and performing satisfactorily before applying for another job at the Firm. Internal applicants can find out more regarding career navigation, mobility guidelines and policy on our employee portal by clicking here. Equal opportunities statement Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. What you can expect from Morgan Stanley We are committed to maintaining the first class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste into your browser. Certified Persons Regulatory Requirements If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks.
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. An opportunity to work at the forefront of research into Moody's Analytics' cutting-edge credit modelling and scenario generation suite of solutions. Join a global team of leading risk management professionals from a diverse set of academic and professional backgrounds. Our products and services are deeply embedded across the financial sector. A culture emphasising partnership with our clients and the value of innovation and thought leadership pervades our business objectives and the day-to-day work that we do. As a research member of the Insurance Asset Risk Modelling team, you will be exposed to a broad range of challenges ranging from deeply technical model research to highly focussed client driven project work. This role will involve working on a newly developed credit risk product, which integrates Moody's long-standing expertise in structural credit modelling in an integrated risk framework which leverages Moody's award-winning Scenario Generator solution for broader interest rate and market risks. This modelling is applied across a range of credit asset classes (including structured products and private markets), while also capturing other key market risks like yield curve sensitivities and FX exposures. Our clients typically model these risks within a broader Asset Liability and Economic Capital framework. Responsibilities Prototype & develop analytic and quantitative financial models. Review financial analytics requirements. Contribute and lead research projects and development initiatives focused on improving our products. Where appropriate engage in detailed review and development activities of others' work to ensure that the team meets its goals. Write and review model and technical product documentation. Collaborate with members of Research and Product Management teams to develop testing plans, testing strategy and statistical benchmarks for testing. Create test cases, execute tests, analyse testing results and provide reports to the project team. Provide advanced level support on quantitative modelling questions to clients. Supporting the advisory services and sales teams by engaging with clients and prospect on deep dive modelling topics and product expertise. Qualifications A good first degree in a numerical discipline, for example: finance or other highly quantitative subject (physical sciences, maths, data science, economics). Ideally, a post-graduate (MSc or PhD) qualification in a numerical discipline. Knowledge or experience in the following areas: Structural credit modelling, including Merton and Distance to Default credit modelling Time series data and analysis, financial mathematics and stochastic modelling. Ideally, experience of using economic scenarios or scenario generation software and its application to asset risk modelling workflows Strong quantitative developer skills. Ideally with experience of programming in Python and familiarity with leveraging AI coding agents in an integrated development environment. We also use C# and MATLAB extensively. Strong communication, presentation and interpersonal skills, with the ability to communicate complex concepts both internally and externally, to different stakeholders with varying levels of technical knowledge. Experience in working in a collaborative project environment, with multi-disciplinary teams (e.g. product management, develop teams, operations, technology, business analysis, etc.). The Department / Team The Moody's Insurance Solutions team supports the insurance industry through the delivery of award-winning solutions, supporting regulatory compliance, financial reporting, investment, and helping firms to develop deeper business insight. A key element of our offering is our ability for subject matter experts to engage effectively with our customers on a regular basis. This engagement supports a number of objectives - ensuring customer satisfaction through effective solution delivery and issue resolution and continuously developing our understanding of customer needs - helping us to establish long-lasting and mutually beneficial relationships with our customers. Equal Opportunity Employer Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Feb 14, 2026
Full time
At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. An opportunity to work at the forefront of research into Moody's Analytics' cutting-edge credit modelling and scenario generation suite of solutions. Join a global team of leading risk management professionals from a diverse set of academic and professional backgrounds. Our products and services are deeply embedded across the financial sector. A culture emphasising partnership with our clients and the value of innovation and thought leadership pervades our business objectives and the day-to-day work that we do. As a research member of the Insurance Asset Risk Modelling team, you will be exposed to a broad range of challenges ranging from deeply technical model research to highly focussed client driven project work. This role will involve working on a newly developed credit risk product, which integrates Moody's long-standing expertise in structural credit modelling in an integrated risk framework which leverages Moody's award-winning Scenario Generator solution for broader interest rate and market risks. This modelling is applied across a range of credit asset classes (including structured products and private markets), while also capturing other key market risks like yield curve sensitivities and FX exposures. Our clients typically model these risks within a broader Asset Liability and Economic Capital framework. Responsibilities Prototype & develop analytic and quantitative financial models. Review financial analytics requirements. Contribute and lead research projects and development initiatives focused on improving our products. Where appropriate engage in detailed review and development activities of others' work to ensure that the team meets its goals. Write and review model and technical product documentation. Collaborate with members of Research and Product Management teams to develop testing plans, testing strategy and statistical benchmarks for testing. Create test cases, execute tests, analyse testing results and provide reports to the project team. Provide advanced level support on quantitative modelling questions to clients. Supporting the advisory services and sales teams by engaging with clients and prospect on deep dive modelling topics and product expertise. Qualifications A good first degree in a numerical discipline, for example: finance or other highly quantitative subject (physical sciences, maths, data science, economics). Ideally, a post-graduate (MSc or PhD) qualification in a numerical discipline. Knowledge or experience in the following areas: Structural credit modelling, including Merton and Distance to Default credit modelling Time series data and analysis, financial mathematics and stochastic modelling. Ideally, experience of using economic scenarios or scenario generation software and its application to asset risk modelling workflows Strong quantitative developer skills. Ideally with experience of programming in Python and familiarity with leveraging AI coding agents in an integrated development environment. We also use C# and MATLAB extensively. Strong communication, presentation and interpersonal skills, with the ability to communicate complex concepts both internally and externally, to different stakeholders with varying levels of technical knowledge. Experience in working in a collaborative project environment, with multi-disciplinary teams (e.g. product management, develop teams, operations, technology, business analysis, etc.). The Department / Team The Moody's Insurance Solutions team supports the insurance industry through the delivery of award-winning solutions, supporting regulatory compliance, financial reporting, investment, and helping firms to develop deeper business insight. A key element of our offering is our ability for subject matter experts to engage effectively with our customers on a regular basis. This engagement supports a number of objectives - ensuring customer satisfaction through effective solution delivery and issue resolution and continuously developing our understanding of customer needs - helping us to establish long-lasting and mutually beneficial relationships with our customers. Equal Opportunity Employer Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
iSAM is an innovative, financial technology firm specialising in quantitative trading, compromised of iSAM Funds and iSAM Securities. iSAM Securities regulated by the FCA, SFC, and CTFC, and CIMA registered, is a leading algorithmic trading firm and trusted electronic market maker, providing liquidity, technology and prime services to institutional clients and trading venues globally. The firm offers full-service prime brokerage and execution via its cutting-edge proprietary technology, as well as market leading analytics, cleared through the group's bank Prime Brokers. iSAM Funds is an alternative asset manager specialising in systematic investing. Each strategy is unique, provides a specialist quantitative approach and is designed to deliver highly diversifying absolute returns for institutional portfolios. About the Role iSAM Helix is an Equities Statistical Arbitrage (StatArb) business line within iSAM Funds, which trades 24/6 globally. iSAM Helix has been live since 2021 and continues to evolve rapidly as part of an ambitious roadmap focused on expanding strategy breadth and capacity. Helix consists of four groups: Research, Quantitative Development, Technology and Data. The project is highly collaborative; the team are looking for a Quantitative Developer capable of working on all aspects of the trading platform - research, development, and live trading platforms. Technology is a front-line function within Helix, playing a critical role in systematic trading. Both the research platform and the production trading system are built on top of custom implementation of high-performance python graph (DAG). The same graph framework is being used across the whole environment - research and back testing, live trading, analytics, risk, position keeping and P&L. Responsibilities Develop and support a complex quantitative StatArb strategies involving large-scale data processing, sophisticated statistical modelling, portfolio construction and highly optimised execution. Build and maintain systems handling highly diversified equity portfolios. Monitoring transaction costs and behaviour of a high turnover strategy. Process and analyse vast historical datasets for research and back-testing alongside real-time, tick-level market data for live trading. Contribute to the design and use of a high-performance, graph-based (DAG) framework enabling concurrent data processing for research and production. Monitor and manage execution quality, transaction costs and market risks arising from changing market regimes and small statistical effects. Work closely with quantitative researchers to enhance tooling, frameworks and shared feature libraries. Take ownership of system components in a fast-paced, agile environment, working both independently and collaboratively as required. Participate in live trading support, including interaction with orders and brokers as part of a rota (FCA certification required). Qualifications 3 years' experience in a technical role within the finance industry (investment bank, hedge fund and associated firms) Degree in Mathematics or Physics preferred; other STEM subjects such as Computer Science will also be considered. Python: Strong software developer with in-depth knowledge and experience. Numpy (including numba): in-depth knowledge is required. Strong knowledge of Unix systems (processes, memory, I/O). Deep understanding of statistical methods, numerical optimisation and equity market microstructure. Experience working with graph-based (DAG) data processing frameworks. Personal Attributes Highly analytical with a strong sense of ownership and accountability. Comfortable tackling complex, ambiguous problems with limited oversight. Collaborative mindset with the ability to work closely with researchers, technologists and trading operations. Calm and reliable under pressure, particularly in live trading environments. Key Outcomes Delivery of robust, scalable and high-performance systems supporting live trading. Tangible improvements to research productivity, execution quality and platform stability. Technical excellence and system ownership.
Feb 11, 2026
Full time
iSAM is an innovative, financial technology firm specialising in quantitative trading, compromised of iSAM Funds and iSAM Securities. iSAM Securities regulated by the FCA, SFC, and CTFC, and CIMA registered, is a leading algorithmic trading firm and trusted electronic market maker, providing liquidity, technology and prime services to institutional clients and trading venues globally. The firm offers full-service prime brokerage and execution via its cutting-edge proprietary technology, as well as market leading analytics, cleared through the group's bank Prime Brokers. iSAM Funds is an alternative asset manager specialising in systematic investing. Each strategy is unique, provides a specialist quantitative approach and is designed to deliver highly diversifying absolute returns for institutional portfolios. About the Role iSAM Helix is an Equities Statistical Arbitrage (StatArb) business line within iSAM Funds, which trades 24/6 globally. iSAM Helix has been live since 2021 and continues to evolve rapidly as part of an ambitious roadmap focused on expanding strategy breadth and capacity. Helix consists of four groups: Research, Quantitative Development, Technology and Data. The project is highly collaborative; the team are looking for a Quantitative Developer capable of working on all aspects of the trading platform - research, development, and live trading platforms. Technology is a front-line function within Helix, playing a critical role in systematic trading. Both the research platform and the production trading system are built on top of custom implementation of high-performance python graph (DAG). The same graph framework is being used across the whole environment - research and back testing, live trading, analytics, risk, position keeping and P&L. Responsibilities Develop and support a complex quantitative StatArb strategies involving large-scale data processing, sophisticated statistical modelling, portfolio construction and highly optimised execution. Build and maintain systems handling highly diversified equity portfolios. Monitoring transaction costs and behaviour of a high turnover strategy. Process and analyse vast historical datasets for research and back-testing alongside real-time, tick-level market data for live trading. Contribute to the design and use of a high-performance, graph-based (DAG) framework enabling concurrent data processing for research and production. Monitor and manage execution quality, transaction costs and market risks arising from changing market regimes and small statistical effects. Work closely with quantitative researchers to enhance tooling, frameworks and shared feature libraries. Take ownership of system components in a fast-paced, agile environment, working both independently and collaboratively as required. Participate in live trading support, including interaction with orders and brokers as part of a rota (FCA certification required). Qualifications 3 years' experience in a technical role within the finance industry (investment bank, hedge fund and associated firms) Degree in Mathematics or Physics preferred; other STEM subjects such as Computer Science will also be considered. Python: Strong software developer with in-depth knowledge and experience. Numpy (including numba): in-depth knowledge is required. Strong knowledge of Unix systems (processes, memory, I/O). Deep understanding of statistical methods, numerical optimisation and equity market microstructure. Experience working with graph-based (DAG) data processing frameworks. Personal Attributes Highly analytical with a strong sense of ownership and accountability. Comfortable tackling complex, ambiguous problems with limited oversight. Collaborative mindset with the ability to work closely with researchers, technologists and trading operations. Calm and reliable under pressure, particularly in live trading environments. Key Outcomes Delivery of robust, scalable and high-performance systems supporting live trading. Tangible improvements to research productivity, execution quality and platform stability. Technical excellence and system ownership.
