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Mohamed Ben Hamouda

@mohamedbenhamouda

Quantitative analyst in systematic trading, building Python and Rust research and execution systems.

Tunisia
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What I'm looking for

I’m looking to rejoin a desk or quant team in quantitative analysis, research or model validation. I’m open to remote employee or contractor roles, and relocation to London or Paris is possible.

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

SE
Current

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.

CC

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

CA

Quantitative Auditor

Jul 2012 - Sep 2017 (5 years 2 months)

• 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

CB

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.

BP

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).

SG

Quantitative Trading Analyst

Jul 2007 - Jun 2008 (11 months)

Implemented and tested a high-frequency FX strategy based on Kalman filtering — recursive state-space estimation (C++, Matlab).

Education

Degrees, certifications, and relevant coursework

IP

IPEST

Mathematics

ME

MIT Professional Education

Data Science and Big Data Analytics: Making Data-Driven Decisions

Mar 2021

SD

Stanford Center for Professional Development

XCS224U: Natural Language Understanding

Nov 2020

UV

Université Pierre et Marie Curie (Paris VI)

MRes, Theoretical and Applied Statistics

2009 - 2010

EC

Ecole nationale de la Statistique et de l'Administration économique

Msc, Statistics and Econometrics applied to Finance

2004 - 2008

UO

University of Oxford

Oxford Fintech Programme

Oct 2020

Tech stack

Software and tools used professionally

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