Jamie Borst
M.S. in Quantitative Finance at Fordham Gabelli School of Business
- Role
- Research Assistant at Kissell Research Group
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Jamie Borst
I\'m currently pursuing my MS in Quantitative Finance at Fordham University, building skills in three core areas: Portfolio Management & Trading, Quantitative Modeling & Risk Management, and Machine Learning & Data Science. I\'m interested in using mathematical models and data-driven approaches to solve complex financial problems and support better investment decisions.
Experience
Research Assistant
Jan 2026 — Present · New York, NY, US
Designing a neural network-driven execution engine to optimize portfolio rebalancing participation rates, modeling non-linear interactions between market impact, timing risk, and price drift; benchmarking against a convex cost-minimization framework• Architecting a Transaction Cost Analysis (TCA) database integrating TAQ and order-level execution data to compute realized spread, implementation shortfall, and slippage across liquidity and volatility regimes for adaptive execution calibration
Education
Fordham University
Master of Science, Quantitative Finance
Fordham Gabelli School of Business
Master of Science, Quantitative Finance
Purdue University
Bachelor of Science, Industrial Engineering, Minors - Finance and Data Science
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