
Mohamed Ben Hamouda
@mohamedbenhamouda
Quantitative analyst in systematic trading, building Python and Rust research and execution systems.
What I'm looking for
At Crédit Agricole CIB, I worked on the front-office FX pricing and risk platform, partnering with researchers and traders across FX, rates and cross-asset desks. I also helped transform the FX risk engine, improving P&L decomposition accuracy and reducing cross-team bottlenecks by more than 50%.
Since 2021, I’ve worked independently on systematic trading, building a Python and Rust stack for data, back-testing and execution and using it to research options and crypto strategies. Earlier, I audited pricing and risk models at Credit Agricole and researched systematic trading at Crédit Agricole CIB, BNP Paribas and SGCIB. I’m now looking to rejoin a desk or quant team.
Experience
Work history, roles, and key accomplishments
Quantitative Analyst
Self-employed
Jan 2021 - Present (5 years 9 months)
Independent work in systematic trading. Built the data, back-testing and execution stack in Python and Rust; researched and tested options and crypto strategies on it, with live market data from Interactive Brokers and crypto venues. Brought machine learning and deep learning up to date on financial time series. Statistics, Python, Rust, C++, kdb+/q.
Senior Business Analyst
Crédit Agricole CIB
Sep 2017 - Dec 2020 (3 years 3 months)
Front-office FX pricing and risk platform: the risk-management solution and the pricing service layer used by the FX desks.
• Worked with developers and other teams on the FX risk-engine transformation, planning and specifying the developers' tasks: pricing-library migration and upstream data-feed redesign. P&L decomposition accuracy improved and cross-team bottlenecks cut by more than 50%. • Par
• Audited derivative pricing models across equities, FX and fixed income, together with VaR, stressed VaR, Credit VaR, XVA and stress-testing frameworks, for mathematical correctness and statistical validity. • Reviewed Basel III compliance of the group's risk models across Crédit Agricole CIB, Amundi, Crédit Agricole Assurance and LCL. • Led independent audit teams of two to four inspectors, owni
Quantitative Analyst
Crédit Agricole Corporate & Investment Bank
May 2010 - Jun 2012 (2 years 1 month)
• Developed and backtested systematic trading signals; applied machine learning to equity-return prediction. • Built a trading simulator and back-tester; worked on execution-probability models and trading-cost reduction. • Conducted market-microstructure research with academic collaborators. • Built and maintained trading libraries in C# and R.
Quantitative Trading Analyst
BNP Paribas
Jul 2009 - Jan 2010 (6 months)
Built statistical models and indicator-selection methodology for automated equity trading systems (C++, R).
Implemented and tested a high-frequency FX strategy based on Kalman filtering — recursive state-space estimation (C++, Matlab).
Education
Degrees, certifications, and relevant coursework
IPEST
Mathematics
MIT Professional Education
Data Science and Big Data Analytics: Making Data-Driven Decisions
Mar 2021
Stanford Center for Professional Development
XCS224U: Natural Language Understanding
Nov 2020
Université Pierre et Marie Curie (Paris VI)
MRes, Theoretical and Applied Statistics
2009 - 2010
Ecole nationale de la Statistique et de l'Administration économique
Msc, Statistics and Econometrics applied to Finance
2004 - 2008
University of Oxford
Oxford Fintech Programme
Oct 2020
Availability
Location
Authorized to work in
Salary expectations
Social media
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