Quantitative Developer with a solid foundation in financial engineering and a strong passion for quantitative finance and mathematical modeling. Experienced in designing and integrating pricing systems, with hands-on knowledge of both computational methods and real-world trading environments. Eager to continuously learn, grow, and take on challenging tasks that push the boundaries of financial technology and quantitative analysis.
Currently working on the development of a financial library in C# designed to replicate Bloomberg’s bond market analytics, including pricing, yield calculations, and risk measures.
Consultant – Forex Development Team, IMI Division
Intesa Sanpaolo – Feb 2024 to Feb 2025
Developed a C++ integration project to bridge the internal financial library with the broader trading application, transforming data models to enable pricing and analytics workflows. Managed the distributed grid infrastructure for Monte Carlo pricing of structured FX options. Led the implementation of pricing tests to validate both the financial library and the surrounding application code. Worked closely with traders and financial engineers, gaining in-depth knowledge of FX derivatives, quantitative finance, and trading systems.
Coursera Master- C# for .NET Developers
DataMaster- Masterclass in Machine learning
Quant Next- Option pricing and Risk management
Master’s Thesis : "Pricing of Multi Digital Option with Memory"
Studied and implemented a new type of exotic option called Multi Digital with Memory, developed by the bank’s internal team. The work included analyzing the payoff, studying the local volatility model used for pricing, and building a Monte Carlo simulation. Also explored an alternative pricing method using recursive integrals, implemented in Python. Contributed to the integration of this new product into the bank’s pricing software.