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 application development team creates the systems that deliver the service to Quantile’s clients. It is this team’s responsibility to design and build systems that permit financial market participants to securely provide risk and trade data to Quantile, to deliver that data into the quantitate algorithms developed by the quants, and to return the output of those libraries safely back to the participants in a timely manner. In addition, the systems should provide feedback to the clients to help them to understand the results as well as how they can modify their parameters and data to gain improvements in the future. The Quantile systems live in the cloud, currently hosted by AWS.
The successful candidate will work as part of a small team of 5-7 developers to build and research improvements to the applications & environment. They will work directly with product management team to enhance the product based on feedback from clients and analysis of runs as well as on strategic projects. Examples of possible projects, all of which will involve writing a program in python, include
- Design and build a Data Masking Tool to allow us to generate data-sets for development and testing without compromising real client data
- Simulate the creation and evolution of a compression scenario to automate parts of the QA process performed by products team
- Build a chat-bot to post messages to our internal chat room regarding status of runs and application infrastructure
Desired skills:
- Current MSc/MEng student in a STEM discipline
- Solid understanding of python for executable & repeatable programs (as opposed to data analytics). In particular, familiarity with pandas, numpy & dask
- Experience with the unix command line
- Some experience with AWS
- Knowledge of Interest Rate Swaps
- Excellent communication & problem solving skills
- Knowledge of Interest Rate Swaps
- Excellent problem-solving skills
This role is a hybrid working role, with a blended approach of home and office working.
Quantile is an Equal Opportunity Employer.
