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 explore new ideas and challenge existing assumptions. 

 

ABOUT THE ROLE 

 

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 

  

 

 

 

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 Women Empowerment Principles.

 

 

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Profile description:

 

SKILLS   

  

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