Pawel Chilinski
EFX AI Quant Trader at State Street
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolPawel Chilinski is an experienced eFX AI quant trader and researcher with over a decade of hands-on expertise building pricing, hedging and portfolio risk systems for top-tier banks and electronic market makers. He combines a strong software engineering pedigree—from ultra-low-latency HFT systems to distributed Java platforms—with advanced academic training (PhD-level work in machine learning and statistics at UCL and the Polish Academy of Sciences). At UBS and HSBC he led greenfield projects that helped transform eFX liquidity provision and systematic market-making, and he now focuses on reinforcement learning for multi-period portfolio optimization. Pawel’s rare blend of production-grade engineering, quantitative research and business-facing delivery means he both conceives novel ML-driven strategies and ships robust, low-latency implementations. Based in London, he pairs an MBA for IT managers with deep technical roots in C++/Java and modern ML, making him adept at bridging research, code and trading outcomes. An understated strength is his longevity across roles—from core infrastructure to frontline quant trading—demonstrating adaptability across evolving markets and tech stacks.
10 years of coding experience
18 years of employment as a software developer
University College LondonInformation Technology Mathematics and Physics profile., Information Technology Mathematics and Physics profile. at Ruy Barbossa CollegeMSc Computer Engineering and Electronics, MSc Computer Engineering and Electronics at Warsaw University of TechnologyMBA MBA for IT managers, MBA MBA for IT managers at Leon Kozminski Academy of Entrepreneurship and Management in WarsawPhD level courses in Statistics/Maths/Computer Science/Machine Learning, PhD level courses in Statistics/Maths/Computer Science/Machine Learning at Institute of Computer Science Polish Academy of Sciences
English, German, Polish
Github Skills (13)
neural-network10
machine-learning10
deep-learning10
tensorflow10
python10
data-science10
ml9
deep-neural-networks9
documentation-generator6
jupyter5
pdf5
sphinx-doc4
jax2
Programming languages (2)
Github contributions (5)
pawelc/python
Dec 2015 - May 2017
Contributions:13 commits, 12 pushes, 1 branch in 1 year 5 months
pawelc/NeuralLikelihoods0
Oct 2018 - Jan 2020
Contributions:6 commits, 5 pushes, 1 branch in 1 year 2 months
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