ABOUT THE POSITION

The role offers the natural evolution for you as a Data Scientist looking to work as a Quant Developer and apply your ML and statistical expertise to high-impact financial challenges. You will work on predictive modeling, advanced statistical analysis, and large-scale data management, with immediate impact: your models drive real-time investment decisions.

Open positions in:

• Alpha Signals team : develop predictive models powering our automated trading systems

• Portfolio Construction team: develop portfolio optimization and multi-asset allocation frameworks

Keys responsibilities: (non-exhaustive list, depending on the team)

Work on meaningful technical challenges:

• Integrate and validate new models within production systems

• Design and optimize complex workflows with Machine Learning components

• Perform detailed statistical diagnostics to improve model quality and robustness

• Build applications for distributing calculations at scale

• Collaborate directly with quantitative researchers to turn innovations into production

Make decisions that matter:

• Your work impacts systematic trading and investment strategies

• Contribute to systems directly impacting production environments

Grow with modern tooling:

• Work with a cutting-edge technologies and AWS

• Build in Linux environments with high code quality standards

Preferred skills and experience

Education & Experience

• Master's degree in computer science, Mathematics, Engineering, or related field

• 4-5+ years of experience in Data Science, quantitative development, or demanding technical environments

Technical Skills

• Advanced Python, Pandas, NumPy, Scikit-learn

• Strong foundations in Machine Learning and statistics

• Ability to critically analyze and interpret predictive models (hypothesis testing, bias/variance trade-offs, model diagnostics)

• Comfortable with distributed systems and large-scale data manipulation

• Proficient in Linux and production environments

Qualities

• Collaborative spirit and ability to work efficiently

• Rigor, code quality, and testing culture

• Curiosity for new technologies

• Excellent command of English and French