About
Quantitative Risk Advisor for Banking
For nearly twenty years, I have been turning risk and valuation methodologies into production software for banks, supervisors, and risk-software vendors across Europe. I work hands-on across the quantitative lifecycle, from requirements and model specifications through to tested implementation, ensuring that the model on paper and the numbers in the system agree.
My education combines business and mathematics: a degree in Business Administration from Universidad Nacional de Cuyo in Argentina, a Master’s in Financial Engineering from Universidad de Alcalá in Madrid, and a Master’s in Mathematical Engineering from the Universitat Politècnica de Catalunya in Barcelona, where my thesis on stochastic models for statistical arbitrage received the highest distinction.
This combination shapes how I approach quantitative work. I expect a model to be mathematically rigorous, technically robust, and grounded in business reality.
Pricing engines and valuation models in C++ and QuantLib: mortgages, multi-curve frameworks, illiquid bonds, Prudent Valuation.
IRRBB, funds transfer pricing, VaR and credit risk (PD, LGD, ECL), from methodology to reporting across multi-entity groups.
Customising and automating risk platforms such as Regnology Risk Hub with Java, SQL and Python, backed by automated tests.
Across consulting and in-house roles, I have led engagements for banks, financial institutions and risk-software organisations across Europe, often owning the work from requirements and methodology through implementation and delivery.
Working languages English · German · Spanish
A three-page profile of my quantitative risk, pricing and valuation advisory work for banks: background, core expertise and selected engagements.