Skills: • Mathematical: Advanced/broad background in both pure and applied mathematics, including Statistics, Hypothesis Testing, Monte Carlo Methods, Convex Optimization, Machine Learning and Econometric Modeling. • Tech: Extensive experience with rigorous quantitative/analytical investigations, root cause analysis, A/B testing, risk mitigation and integrity • Financial: former CFA charter holder, with extensive experience in financial risk analytics and quantitative analysis • Programming: Proficient in SQL. Coding experience in Python (Pandas, Numpy, scikit-learn, Jupyter notebooks) • Communication: Over fifteen years of experience teaching and presenting technical material and analytical work to both technical and non-technical audiences
Listed skills include Quantitative Analytics, Matlab, Applied Mathematics, Fixed Income, and 20 others.