Matthew Fried has several years experience in both teaching and derivatives. He has traded and modeled various specialized strategies for hedge funds and private clients. He ran several derivative-based portfolios based on hedging with gamma, cash generation through short theta positions, and scalping across the smile, among other less exotic mixes.

He teaches mathematics, computer science, and finance (specifically, risk management) at both the graduate and undergraduate level. He has built probabilistic A.I. models integrating the three fields and is currently focused on pursuing a PhD through the CUNY system.

Degrees:
M.A. Mathematics, Queens College
B.A. Interdisciplinary Studies, Touro College​