Pushpak Sarkar
Quantitative Engineer
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolPushpak Sarkar is a quantitative engineer with a PhD in Economics and nine years of experience building quant strategies, risk analytics, and performance attribution for multi-asset portfolios using Python, C#, and SQL. He has applied advanced statistical and time-series methods, simulation and optimization techniques, and machine learning in roles at Russell Investments and now Jacobs Levy, bridging research-grade econometrics with production quant development. His background includes hands-on data engineering and software development from early work at Cognizant and teaching graduate courses in financial software, Monte Carlo methods, and SQL-driven data access at the University of Washington. Notable for combining academic rigor with production discipline, he has also interned in Amazon’s Core AI group, underscoring an ability to translate cutting-edge research into scalable systems. Based in Seattle, he brings a rare mix of macroeconomic insight, technical breadth, and practical implementation experience across finance and AI.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD) Economics, Doctor of Philosophy (PhD) Economics at University of WashingtonHigher Secondary, Higher Secondary at St. Xavier's College (Autonomous), KolkataSchool & Secondary, School & Secondary at Ramakrishna Mission, RaharaMasters Economics, Masters Economics at Delhi School of EconomicsB.Tech Computer Science & Technology, B.Tech Computer Science & Technology at University of Kalyani, IndiaGithub contributions (5)
spushpak/UnequalReturnHist
Apr 2017 - Nov 2017
Contributions:28 commits, 27 pushes, 1 branch in 7 months
spushpak/CSE546
Dec 2018 - Jan 2019
Contributions:63 pushes, 1 branch in 1 month
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