Frédéric Wantiez
Commodities Risk Analyst at Millennium
England, United Kingdom
Summary
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Rockstar🎓
Top SchoolFrédéric Wantiez is a commodities risk analyst and data scientist with a decade of experience applying advanced mathematical modeling and machine learning to financial markets. He combines roles at Millennium and Cassandre Investments, bringing production-grade analytics and time-series forecasting expertise honed during an NLP-focused data science stint at Bloomberg. Trained at Oxford and CentraleSupélec in mathematical modeling, applied math and engineering, he bridges rigorous theory with pragmatic deployment of smart analytics and anomaly detection. Comfortable working across research, deployment and visualization, he has a track record of turning complex statistical models into operational risk insights for commodity trading. Notably, his background in both NLP and electrical engineering gives him an uncommon cross-domain perspective for extracting signals from noisy market data.
10 years of coding experience
1 year of employment as a software developer
Master of Science (M.S.), Applied Mathematics, Master of Science (M.S.), Applied Mathematics at Université Pierre et Marie Curie (Paris VI)Preparatory classes : two-year undergraduate intensive course in mathematics and physics, Mathematics - Physics, Preparatory classes : two-year undergraduate intensive course in mathematics and physics, Mathematics - Physics at Lycée LakanalMSc Mathematical Modeling and Scientific Computing, Distinction, MSc Mathematical Modeling and Scientific Computing, Distinction at University of OxfordBachelor's degree - License 3, Theoretical and Mathematical Physics, Bachelor's degree - License 3, Theoretical and Mathematical Physics at Paris-Sud University (Paris XI)Master of Science - MS, Electrical and Electronics Engineering, GPA 3.9/4.0, Master of Science - MS, Electrical and Electronics Engineering, GPA 3.9/4.0 at CentraleSupelec
French, English, Russian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (47)
bayesian-statistics10
spin10
artificial-intelligence10
probabilistic-programming10
particle10
expressions10
machine-learning10
mcmc10
stochastic-processes10
bayesian10
probabilistic-models10
probabilistic10
probabilistic-graphical-models10
bayesian-methods10
particle-filter10
Programming languages (5)
Github contributions (5)
FredericWantiez/config
Jun 2020 - May 2023
Contributions:2 PRs, 14 pushes, 2 branches in 2 years 11 months
FredericWantiez/AdvancedPS.jl
Apr 2021 - Jun 2022
A particle sampler library in Julia
Contributions:20 PRs, 75 pushes, 14 branches in 1 year 2 months
particleparticlessamplerjulia
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