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Quantitative modelling using Artificial Intelligence and Machine learning for Sports

- Designing and building Sales models using Python with Anaconda to compute large amount of data- Analysing Sales performance metrics- Strategy/Business developmentTechnology: Salesforce, Python, Anaconda, VBA

- Create tools to manage market risk- Monitore and backtest quantitative risk models (VaR, Expected Shortfall and other risk measures of the EEMEA portfolio)- Build new stress tests- Provide risk analyses on new structured products- Develop tools for P&L explanatory

I managed the Basel III CVA Project in the Market Risk Management. I also design in C# a tactical solution allowing Market Risk Management to perform in-depth analysis on Basel III CVA for the entire bank portfolio.I work in parallel on the implementation of the risk measures models (Potential Future Exposure (PFE), Expected Positive Exposure (EPE)) for OTC derivative Counterparty credit risk, especially for complex commodity trades and FX options with delayed settlement.

Computed, analysed and validated market data and metrics for regulators and risk management purposes (VaR, P&L, Vols) Worked closely with risk managers and quantitative analysts to build VBA tools for pricing and monitoring rate curvesDeveloped tools for a new VaR project for the CVA desk

Computed, analysed and validated market data and metrics for regulators and risk management purposes (VaR, P&L, Vols) Worked closely with risk managers and quantitative analysts to build VBA tools for pricing and monitoring rate curvesDeveloped tools for a new VaR project for the Credit Value Adjustment desk

Designed and developed ERP software using technology Developed and integrated Web & Java solutions specialized on aeronautics accountsTechnology: VB.Net, Java, SQL, SAP