Accomplished Data Scientist and Quantitative Researcher combining Theoretical Knowledge with 10+ years Practical Expertise of Financial Mathematics, Advanced Statistics and Machine Learning. Proven track record of Technical Leadership in a variety of Quantitative Analytics and Predictive Modeling Projects including Portfolio Risk & Investment Modeling, Loss Forecasting, Stress Testing, VaR, Retail & Commercial Credit Risk Modeling and Econometric Time Series.
Panel discussion on the realistic use cases of ML processes within financial markets – how to separate fad from reality and utilise Machine Learning effectively.
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