Quantitative Developer Python - Alpha Signals

Permanent contract
Paris
Salary: Not specified
A few days at home
Experience: > 4 years
Education: Master's Degree
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Capital Fund Management
Capital Fund Management

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Questions and answers about the job

The position

Job description

 

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.  

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 models calculations 

- 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 

 

 

 

 

 


Preferred experience

Profile description:

SKILLS  

 

You are a bright, enthusiastic engineer with a scientific degree, and at least 5 years’ experience in a similar role in market finance (Asset Management - Hedge Fund: Equity / Future / High Frequency Trading).  You have high work ethics and: 

  • You have knowledge and experience in the field of Machine Learning  
  • 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 a team player and have a good command of English 
  • Linux is your natural environment  

 



We offer:

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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