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Quantitative Developer Python - Alpha Signals H/F - 75

Description du poste

CAPITAL FUND MANAGEMENT S. A.ABOUT CFM

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 explorenew ideasand challenge existing assumptions.

ABOUT THE ROLE

In collaboration with the Research teams, the Front Prediction team develops andmaintainsthe 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 andvalidatingnew predictive models within our Python decision platform

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

Developing andoptimizingapplications 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 andleveragingmodern tooling - including Large Language Models (LLMs) and related technologies - to improve productivity, code quality, documentation, and collaboration within the team

EQUAL OPPORTUNITIES STATEMENT

We are continuously striving to be an equal opportunity employer and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.
CFM is a signatory of the .

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Compétences requises

  • Python
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