Razvan Oprisor
Head Systematic Trader - FICC Americas
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolRazvan Oprisor is a seasoned quantitative trading leader with 11 years of experience driving systematic trading and algorithmic market-making across equities and FICC markets. Currently Head Systematic Trader for FICC Americas at Citadel Securities, he previously led equities systematic trading for Americas ex‑US and progressed through trading and risk roles within the firm. He blends a strong computer science and engineering background (BEng, McGill) with graduate-level study in operations research and financial engineering at the University of Toronto to design data-driven trading strategies and optimization frameworks. Known for translating research into production trading systems, he has experience collaborating with industry partners (e.g., RBC via a MITACS grant) and hands-on execution in highly competitive market-making environments.
11 years of coding experience
Master's of Applied Science (MASc), Operations Research & Financial Engineering, Master's of Applied Science (MASc), Operations Research & Financial Engineering at University of TorontoBachelor of Engineering (BEng), Honours Electrical Engineering, Software Engineering Minor, Bachelor of Engineering (BEng), Honours Electrical Engineering, Software Engineering Minor at McGill University
English, French, Romanian
Github Skills (10)
optimizer10
convex-optimization10
optimization-methods10
optimization9
time-series9
simulation9
finance9
python8
risk-management5
fintech4
Programming languages (1)
Github contributions (5)
roprisor/cvxportfolio
Sep 2019 - May 2021
Portfolio optimization and simulation in Python
Contributions:6 commits, 1 PR, 4 pushes in 1 year 8 months
pythonportfolio-optimizationoptimizationsimulationrisk-management
roprisor/alphamodel
Jan 2020 - Dec 2021
Alpha model skeletons & examples
Contributions:100 commits, 19 pushes, 1 comment in 1 year 11 months
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