Quantile 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 and Amsterdam – with Tokyo coming soon. As a graduate in the engineering team, you’ll have the opportunity to collaborate on cutting-edge solutions and make an impact on meaningful projects, including designing and enhancing our services and analysing the results. Our services can be expressed mathematically as solutions to constrained convex optimisation problems. You’ll work on converting real world financial data to solve such problems, ultimately delivering clients a set of actionable trades which can be used to optimise their portfolios. Our technology stack is predominantly JavaScript and Python and runs on the public cloud. The strats team is responsible for designing, building and maintaining the code that handles the data priming, the model execution and the post-processing of the solution into a format that clients can consume. The biggest component of the role is writing and testing the code, which is written in python, so it is important to enjoy coding and be comfortable with designing and writing code in a large, shared codebase. Being comfortable with inter-library dependencies, python package management and continuous development practices is also crucial. In addition to building the calculations, the strats team is on the front-line when it comes to executing the multilateral runs, which occur with weekly frequency. This requires a high level of engagement with our Production team, to provide timely support during runs and help resolve issues as they arise in real time. A client-focused approach is therefore crucial to the role. Successful candidates will build and support one or more Quantile products. They work directly with our Production and Product development teams to enhance the product based on feedback from clients and analysis of runs as well as on strategic projects. Examples of relevant projects include: Implement Capital measures (e.g SA-CCR, or IMM) for FX and IR products Add a CCAR objective to our existing risk capital optimisation Enhance our Initial Margin optimisation to include cleared trades for multiple CCPs Implement a new service to move bilateral trades into clearing while maintaining risk and capital under control Combine risk capital products within a single multi-objective optimisation Improve the runtime performance by reducing the data set and solution search space Improve data flow, minimising manual steps, avoiding task duplication, and building an event-driven architecture Responsibilities: Develop enhancements to the model library to add new components and improve others Become familiar with the data flow and the run processes and continually strive to improve them Investigate how to use the model to create desired outcomes for clients Essential: Excellent understanding of python for numerical programs. In particular pandas and numpy are a must A solid mathematical background (numerical methods, linear algebra, partial differential equations, probability statistics) Understanding of linear programming, mixed integer programming and convex optimisation Excellent problem-solving skills Strong knowledge of UNIX Strong communication skills (the role will involve explaining often complex algorithms to colleagues with varying technical and mathematical experience) Desirable: Excellent understanding of software development best practices (such as functional and OO paradigms and standard design patterns) and design principles (SOLID) Excellent understanding of commercial development practices such as testing, documentation, as well as package management and SDLC Experience with at least one commercial or open-source optimisation library OR a mathematical modelling language Understanding of financial derivatives, margin and credit counterparty risk measures Knowledge of AWS Additional Information: Maximum Pay Range $1,800/week This role is a hybrid working role, with a blended approach of home and office working. Compensation/Benefits Information (New York City applicants only): LSEG is committed to offering competitive Compensation and benefits. The anticipated base salary for this position is $43,900 - $81,500. Please be aware base salary ranges may vary by geographic location, including city and state. In addition to our offered base salary, this role is eligible for our variable incentive compensation plan. Individual salary will be reflective of job related knowledge, skills and commensurate experience. All roles are typically eligible for inclusion in our LSEG benefits program, more information details will be provided at time of offer. At LSEG, we believe that creating a diverse and inclusive organisation is fundamental to the way we deliver on our promise of creating essential partnerships and open opportunities. Our open culture is central to how we deliver our purpose – driving financial stability, empowering economies and enabling customers to create sustainable growth – in everything we do. Working with us means that you will be part of a dynamic organisation of 25,000 people across 70 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. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. 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 any mental health or physical disability needs. Please take a moment to read this privacy notice 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, your rights and how to contact us as a data subject. 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