Samuel Miingi
@samuelmiingi
Financial economist and AI researcher with 15+ years of experience.
What I'm looking for
I am a financial economist and AI researcher with over 15 years of experience at top-tier institutions. My expertise lies in leveraging machine learning for capital markets, risk analytics, and investment decision-making. I am passionate about education and committed to integrating industry-grade AI methods into finance curricula, guiding future practitioners toward responsible, data-driven innovation.
Throughout my career, I have held significant roles, including Senior Vice President of Quantitative Strategy at J.P. Morgan Private Bank, where I led the integration of machine-learning models into high-net-worth portfolios, boosting forecast accuracy by 37%. My work at Eli Lilly & Company as Director of Financial Engineering resulted in the implementation of predictive models that optimized treasury and FX exposure, saving the company $45 million over five years. I have also contributed to academia as a guest lecturer and mentor, focusing on AI applications in finance.
Experience
Work history, roles, and key accomplishments
Senior Vice President, Quantitative Strategy
J.P. Morgan Private Bank
Jan 2018 - Present (7 years 5 months)
Led integration of machine-learning models into HNW portfolios, boosting forecast accuracy by 37%. Partnered with AI ethics teams to establish model-interpretability standards adopted bank-wide.
Director of Financial Engineering
Eli Lilly & Company
Jan 2012 - Jan 2017 (5 years)
Implemented predictive models optimizing treasury & FX exposure, saving $45M over 5 years. Co-developed graduate-intern curriculum on ML for pharmaceutical finance.
Quantitative Analyst
Cummins Inc.
Jan 2008 - Jan 2012 (4 years)
Built econometric and time-series models forecasting commodity prices. Piloted in-house AI training modules for junior analysts.
Education
Degrees, certifications, and relevant coursework
Indiana University Bloomington
Ph.D., Financial Economics
Grade: Summa Cum Laude
Activities and societies: Awarded the Chancellor's Medal for Academic Excellence.
Focused research on the intersection of financial economics and artificial intelligence. Completed a dissertation titled 'Machine Learning in Capital Markets: Predictive Modeling in Asset Valuation', exploring advanced AI techniques for asset valuation.
Purdue University
Bachelor of Science, Finance & Applied Mathematics
Grade: GPA 3.95/4.0
Activities and societies: Minor in Computer Science; Honors College.
Pursued a rigorous curriculum combining finance and applied mathematics, with a minor in computer science. Participated in the Honors College program, undertaking advanced coursework and research opportunities.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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