À propos de Mohamedou
Anglais
Bilingue ou natif
Français
Bilingue ou natif
Arabe
Bilingue ou natif
Expériences
- Banque de France – SG DEFI,Intern – Modelling of Pension LiabilitiesBANQUE & ASSURANCESavril 2025 - septembre 2025 (5 mois)Paris, France(Actuarial and Quantitative Finance)• Designed and implemented a comprehensive actuarial projection model in R and C++ (Projected Unit Credit method).• Estimated survival matrices and performed backtesting of mortality, marriage, and fertility assumptions using historical data.• Automated SQL/R workflows to compare projected vs. observed liabilities across populations (employees, pensioners, leavers).• Conducted sensitivity analyses, empirical adjustments, and reporting of key risk indicators.
- EnsimagQuant Developer – Structured Products Valuation PlatformBANQUE & ASSURANCESjanvier 2025 - mars 2025 (2 mois)Grenoble, FranceDesigned and developed a modular valuation platform for a multi-index structured fund, combining React (frontend), FastAPI (middleware), and a C++ pricing engine for high-performance computations.Implemented Monte Carlo simulations, Greeks computation (Delta, Gamma, Vega), and dynamic portfolio rebalancing under various market scenarios.Built a cross-language communication layer using gRPC and JSON serialization, ensuring seamless data exchange between pricing, analytics, and user interface modules.Optimized performance, reproducibility, and scalability through efficient numerical methods and software design best practices.Delivered a fully functional prototype enabling real-time valuation, scenario testing, and sensitivity analysis for structured products.
- EnsimagQuantitative Developer – Option Pricing Tools (C++/C#)novembre 2024 - décembre 2024 (1 mois)Grenoble, FranceDeveloped option pricing tools in C++ and C#, implementing both analytical and simulation-based models (Black–Scholes, Binomial Tree, and Monte Carlo methods) for European and American derivatives.Computed and validated Greeks (Delta, Gamma, Vega, Theta) to assess price sensitivities and model robustness under various market scenarios.Optimized the computational performance and accuracy of pricing algorithms through variance reduction techniques and efficient memory management.Applied SOLID principles and object-oriented best practices to build a modular, reusable, and scalable architecture for quantitative finance applications.
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Formations
- Diplôme d’ingénieur – Quantitative Finance and Computer ScienceGrenoble INP ensimag2025Specialized in stochastic modelling, quantitative finance, and numerical methods, with a strong focus on C++, C#, Python, and software development for financial applications.
- Master’s Degree in Quantitative FinanceGrenoble IAE – Graduate School of Management2025Focus on finance, risk management, portfolio optimization, and advanced financial modeling.