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Johnew Zhang
About

Johnew Zhang 張俊琪

I've spent seven years at a public pension fund, investing directly in financial services and fintech across private credit and public equities. My focus is asset-based finance (ABF), financial institutions (FIG), and complex situations. I've also contributed to data-driven investing initiatives and to market mapping of blockchain and crypto.

I trained in mathematics and actuarial science at the University of Waterloo and financial economics at Columbia, and began my career as a property and casualty actuary. That path shapes how I invest: understand how a system works, price its risks, then design the structure around them. Most of what I write here comes back to that idea.

Education

Columbia Business School
M.S., Financial Economics
University of Waterloo
BMath, Mathematical Finance

Member · Society of Actuaries · Casualty Actuarial Society · International Association for Quantitative Finance · Columbia University Club of New York · Penn Club of New York

Research

My academic interests are asset pricing, corporate finance theory, Bayesian inference, and machine learning, with published work on portfolio management.

Tools

Data and modeling
PythonRSQL
Systems
CC++
Applications
JavaC#
Functional
OCamlScheme
AI assistants
ClaudeChatGPT