Tanay Trivedi
Systematic Fixed Income Quantitative Researcher
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolTanay Trivedi is a Systematic Fixed Income Quantitative Researcher with 10 years of cross-disciplinary experience applying data science, machine learning, and engineering to investment management. He has built systematic credit and IG credit portfolio strategies across hedge funds and asset managers, and now researches fixed income solutions at Fidelity in New York. Tanay combines deep technical training (MS in Computer Science from NYU) with hands-on quant work—Bayesian inference, factor modeling, and production-ready data engineering—to turn alternative data and probabilistic models into tradable signals. His background includes applied roles at JPMorgan and Trexquant where he bridged asset management needs and scalable ML tooling, improving portfolio selection and transaction-cost estimation. Notably, he has practical experience implementing Bayesian workflows for market-impact prediction and integrating uncertainty estimates into investment decision processes. He’s comfortable shipping research into production and translating complex statistical methods into portfolio-level improvements.
9 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at New York UniversityBachelor’s Degree, Engineering, Bachelor’s Degree, Engineering at The Cooper Union for the Advancement of Science and ArtHigh School, High School at Bridgewater-Raritan High School
English, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (53)
coinbase9
python-client9
wrapper9
gdax-api8
svd8
exchange8
brain-computer-interface8
coinbase-api8
trading7
api-client7
bitcoin7
websocket-client7
quantitative7
cryptocurrency6
science6
Programming languages (5)
Github contributions (5)
padraic00/reinforcement-learning-fall17
Sep 2017 - Jan 2019
Contributions:22 pushes in 1 year 4 months
padraic00/Options-Methods
Apr 2017 - Apr 2017
Contributions:11 commits, 11 pushes in 18 days
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