Michael Sinclair
Quant Analytics Engineer at Hudson Bay Capital Management LP
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolMichael Sinclair is a quant analytics engineer and CFA charterholder based in New York with eight years of experience building data pipelines, dashboards, and financial models for hedge funds and fintech. He blends hands-on Python (pandas), SQL and Excel expertise with a strong mathematics and physics foundation from Queen’s University to turn messy data into auditable, decision-ready analytics. His career spans structured finance, strategic finance, and research operations—most recently joining Hudson Bay Capital after roles at Theorem and MoneyLion where he embedded quantitative rigor into product and finance teams. Comfortable both in production analytics and exploratory research, he focuses on scalable, well-documented workflows that enable fast iteration. Outside work he maintains a GitHub for miscellaneous projects, reflecting a pragmatic, experimental approach to tooling and automation.
8 years of coding experience
Bachelor of Science Honours (BScH) Mathematics Major Physics Minor, Bachelor of Science Honours (BScH) Mathematics Major Physics Minor at Queen's University
French, English
Github Skills (8)
textbook10
probability10
mathematics1
computer-algebra1
mathematical1
theory1
probability-theory1
computer-algebra-system1
Programming languages (1)
Github contributions (5)
sinclam2/misc-quant-interview
Nov 2017 - Dec 2024
Contributions:22 pushes, 1 branch in 7 years 1 month
sinclam2/online-course-notes
Apr 2019 - Aug 2020
Contributions:12 commits, 72 pushes, 1 branch in 1 year 3 months
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