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CONTACT INFORMATION

Jennifer Galperin, CFA
Quantitative Analyst

ADDRESS

,
Website
Practice Areas
EB-5 Project Research, Due Diligence & Analysis Financial & Securities Valuations Financial Analysis Mathematical Financial Analysis Securities & Corporate Finance Securities, Tax & Financial Valuation
Languages spoken
English

ASSOCIADED WITH

USAdvisors
Jen

Jennifer Galperin, CFA

Jennifer Galperin brings unique sets of skills to build mathematical models of quantitative risk in the capital markets. Her experience includes:

Quantitative Trading Firm. Worked with fund managers to develop and test a protocol foran options trading strategy where she wrote programming code using MATLAB to analyze the hypothetical performance of the strategy over an extensive historical period then optimized the strategy to improve the risk profile dramatically. 

Value Hedge Fund where she developed a mathematical framework for analyzing prospective deep value investments. Used multi-factor analysis in MATLAB to determinethe relationship between various inputs and the long-term performance of the investments.

Mid-Market Leveraged Buy Out Sponsor. Built a detailed financial model to project financial performance of a prospective target for an acquisition. Used excel to analyzethe complex equity participation structure in order to determine the investment returns to each party in various situations.

J.P. Morgan Securities, product specialist for equity derivatives strategies, covering high net worth retail clients in the South and Central regions of the U.S. she worked with thePrivate Bank group, family office advisors, and lawyers to assess and meet individual client needs and objectives. Jen also worked at Goldman, Sachs & Co., where she was an analyst for structured equity-linked Structured Products and customized hedging strategies.

Her educational experience: Massachusetts Institute of Technology Cambridge, MA Bachelor of Science Degree in Chemical Engineering; minors in Economics and Biology;June, 2001. Cumulative GPA: 4.9/5.0.