Source description
About the role
Development of Quantitative Models
Assist in the creation, testing, and documentation of quantitative models for analysing financial markets from both a return and risk perspective.
Apply rigorous mathematical reasoning, ensuring that derivations, assumptions, and methodological choices are clearly stated and reproducible.
Contribute to research projects requiring careful validation, sensitivity analysis, and clear separation of known, inferred, and uncertain components.
Automation and Research Infrastructure
Help automate existing analytical workflows, including data processing pipelines and repeatable research routines.
Assist in building and maintaining a structured library of data visualisation tools and statistical utilities, written in clean, well documented code (R or Python).
Emphasise reproducibility, version control, and comprehensive error handling.
Quantitative Tools and Statistical Analysis
Develop and maintain quantitative tools for analysing asset markets, focusing on return distributions, risk characteristics, and behaviour under stress or volatility.
Implement statistical techniques with methodological care, ensuring transparency of assumptions and avoiding ad hoc or unverified procedures.
Market Research and Trading Idea Support
Assist in identifying and evaluating trading opportunities across asset classes using data driven and mathematically sound frameworks.
Support research on themes such as volatility, mean reversion, cross asset relationships, and the impact of macroeconomic or geopolitical events.
Apply foundational derivatives knowledge where relevant, ensuring clarity and correctness in any analytical work involving options or related structures.
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