Sergey Chigrinov is a quantitative analyst with around a decade of hands-on experience at the intersection of finance and software, specializing in fixed income portfolio management, risk analytics and financial engineering. He has led large-reserve mandates and risk engine migrations—managing teams and $10s of billions in assets—while building production models and data pipelines in Python, C++ and SQL. His work spans strategic asset allocation, performance attribution and regulatory reporting, and he has a proven track record of turning complex economic problems into auditable systems (including QuantLib-based pricing and Monte Carlo RWAs). A CFA charterholder with dual Master’s degrees in Financial Engineering and IT, Sergey blends deep quantitative rigor with pragmatic software delivery and an appetite for continuous improvement. Notably, he has driven projects that materially shortened delivery timelines (e.g., saving six months of development work) and increased returns through operational innovations like cash flow forecasting.
10 years of coding experience
6 years of employment as a software developer
Passed Chartered Financial Analyst (CFA) exams, Passed Chartered Financial Analyst (CFA) exams at CFA Institute
Master's degree, Financial Engeneering, Master's degree, Financial Engeneering at WorldQuant University
Master's degree, Information Technology, 3.7 / 4, Master's degree, Information Technology, 3.7 / 4 at Moscow Aviation Institute (National Research University)
Contributions:4 commits, 9 pushes, 1 branch in 14 days
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