Jason Strimpel
Managing Director, Global AI Strategy
Denver, Colorado, United States
Summary
🤩
Rockstar🎓
Top SchoolJason Strimpel is a seasoned AI and data leader with 14 years of experience building machine learning, data engineering, and quant trading capabilities across startups and global enterprises. Currently Managing Director of Global AI Strategy, he has led teams at AWS and Rio Tinto to commercialize GenAI, productionize ML pipelines, and embed data governance into sales and operational processes. A founder and educator—running PyQuant News and authoring a Python-for-quant-finance resource—he still contributes hands-on to open-source quant projects, improving volatility estimation code and data integrations. His background blends sell-side trading quant experience with C-suite technology leadership, and he’s known for treating modern AI problems with the pragmatism of a statistician-turned-engineer. Based in Denver, he couples investor and founder instincts with a track record of scaling teams and turning models into measurable revenue.
14 years of coding experience
15 years of employment as a software developer
Master of Science in Finance Quantitative Finance, Master of Science in Finance Quantitative Finance at Illinois Institute of TechnologyBachelor of Business Magna Cum Laude Majors in Finance and Economics, Bachelor of Business Magna Cum Laude Majors in Finance and Economics at Western Illinois University
chinese (hsk2), Spanish, English
Stackoverflow
15,158reputation
2.2mreached
45answers
146questions
Github Skills (14)
volatility10
pandas10
python10
options-trading10
data-analysis10
modeling9
numpy9
statistical-models9
finance9
daemon6
figure6
anaconda6
cython6
matplotlib6
Programming languages (7)
Github contributions (5)
jasonstrimpel/volatility-trading
Jun 2014 - Nov 2021
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
Role in this project:
Back-end Developer / Data Scientist
Back-end Developer / Data ScientistContributions:68 commits, 4 PRs, 42 pushes in 7 years 6 months
Contributions summary:Jason primarily focused on refactoring and improving existing code related to volatility estimation models. Their contributions involved updating functions to use `pandas_datareader` for data retrieval and modifying the implementation of several volatility models. They also made changes to function calls and file structures to improve overall code quality and maintainability, as well as fixing calculations in various models.
pythonsinclairvolatility-tradingtradingoptions
jasonstrimpel/jasonstrimpel.github.io
Nov 2015 - Aug 2022
Contributions:43 commits, 44 pushes, 1 branch in 6 years 9 months
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