Thierry Moudiki is an analytics professional and senior data scientist with 12 years of experience at the intersection of actuarial science, statistical modeling and numerical optimization. He leads Techtonique where he applies machine learning, computer simulation and optimization to finance and insurance problems, and is a member of the Microsoft for Startups community. Thierry combines academic rigor—PhD in Actuarial Science and postdoctoral research on excess mortality—with hands-on actuarial roles at Aviva and consulting engagements across the insurance industry. He also teaches and mentors MSc students in quantitative finance and actuarial theses, translating complex theory into practical models. Colleagues value his ability to bridge deep probabilistic modeling and production-ready analytics pipelines, often tackling problems others label “too numerical.”
12 years of coding experience
1 year of employment as a software developer
Master of Engineering (MEng) Financial engineering, Master of Engineering (MEng) Financial engineering at National School of Computer Science and Applied Mathematics of Grenoble
Doctor of Philosophy - PhD Actuarial Science, Doctor of Philosophy - PhD Actuarial Science at Institut de Science Financière et d'Assurances (I.S.F.A)
Master of Science (MSc) Research in Actuarial and Financial sciences, Master of Science (MSc) Research in Actuarial and Financial sciences at Centrale Lyon
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