Jeff Thibault
Assistant Vice President Capital Markets at Taylor Morrison
Miami-Fort Lauderdale Area United States
Summary
👤
Senior🎓
Top SchoolJeff Thibault is an experienced capital markets leader with over a decade managing trading, hedging and secondary marketing across mortgage and multifamily portfolios, currently serving as Assistant Vice President Capital Markets at Taylor Morrison. He combines deep front-to-back knowledge—trade execution, pipeline hedging, MSR valuation and contract finance—with strong cross-functional leadership and risk-control pedigree developed at Fannie Mae, Freddie Mac and major financial institutions. Jeff has a proven track record of scaling trading operations and managing counterparty relationships while implementing pricing models and operational controls. Beyond finance, he contributes to quantitative trading tooling on GitHub, building Python back-end strategies that integrate real-time market data and automated execution—an uncommon technical edge for a senior capital markets executive. Based in the Miami-Fort Lauderdale area, he brings pragmatic problem solving, clear communication, and a history of driving profitable, auditable outcomes.
10 years of coding experience
1 year of employment as a software developer
Economics, Economics, Finance, Business Admin, Economics, Economics, Finance, Business Admin at St. John Fisher University
Github Skills (11)
quantitative-trading10
stock-trading10
tradingview10
python10
futures10
trading10
future10
api9
apim9
financial-analysis8
data-analysis8
Programming languages (4)
Github contributions (5)
qmhedging/poboquant
Jul 2018 - Jan 2020
quant strategy backtesting from pobo financial
Role in this project:
Back-end Developer
Back-end DeveloperContributions:247 commits, 233 pushes, 1 branch in 1 year 6 months
Contributions summary:Jeff primarily focused on developing quantitative trading strategies using the PoboAPI in Python. Their contributions involved creating and updating scripts to fetch exchange asset lists and implement trading logic, including buy/sell conditions based on price movements. They also worked on adapting and renaming existing stock and futures trading strategy examples, adding loss-cut functionalities. The code interacts with real-time market data and executes trades based on pre-defined rules.
qmhedging/some-c-practice
Dec 2015 - Sep 2016
Contributions:11 pushes, 1 branch in 9 months
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