Quantitative Developer Python - Alpha Signals

In collaboration with the Research teams, the Front Prediction team develops and maintains the prediction models (alpha signals) used to make decisions for our automated trading systems.

As a member of this team, you will play a key role in the full lifecycle of predictive models, from research integration to robust, scalable production deployment.

Your responsibilities will include:

Integrating and validating new predictive models within our Python decision platform

Designing and building prediction workflows (simulation and production), including Machine Learning components

Developing and optimizing applications for distributing prediction model calculations at scale

Performing detailed statistical analysis and diagnostics on predictors (e.g. stability, robustness, performance attribution, risk/return profile) to improve their quality and reliability

Continuously improving the suite of non-regression and pre-production control tools to accelerate the Research process

Monitoring the production of prediction applications, liaising with the support teams

Exploring and leveraging modern tooling - including Large Language Models (LLMs) and related technologies - to improve productivity, code quality, documentation, and collaboration within the team

Do you have experience in Python?, You are a bright, enthusiastic engineer with a scientific degree and at least 4 years' experience in a similar role/sector, or you don't come from finance, but you have experience with low latency distributed systems, handling large amounts of data, and real-time processing.

You have high work ethics and:

• You have knowledge and experience in the field of Machine Learning

• You have solid foundations in statistics and probability, and can critically analyze and interpret predictive models (e.g. hypothesis testing, bias/variance trade-offs, model diagnostics, performance metrics)

• You are keen to ensure an excellent level of code quality, testing and user support

• You have an excellent command of Python and Pandas

• You are comfortable working with large datasets and complex data pipelines in a production environment

• You are curious about new technologies and tools, and are keen to use Large Language Models (LLMs) and related AI tools, as well as modern cloud development practices on AWS, in a professional, responsible and efficient way (e.g. for code assistance, documentation, data exploration, internal tooling and cloud-based workflows).

• You are a team player and have a good command of English

• Linux is your natural environment

Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients. We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.