Hung Tan Ngo
Financial Engineering @ Columbia University | Data Analytics, Mathematical Modeling and Research
- Role
- Quantitative Risk Management Associate at Jefferies
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Hung Tan Ngo
As a dedicated and highly analytical individual, I am pursuing a career in quantitative finance, research, and trading. Currently, I am an MS Financial Engineering candidate at Columbia University, building on my strong academic foundation in Applied Mathematics, Statistics, and Economics, which I completed with the highest honors at Emory University. I am deeply interested in developing and applying quantitative models to solve complex financial problems, with hands-on experience in data analysis, software development, and research.My recent honors thesis explored advanced techniques like the Ensemble Kalman Filter (EnKF) and Variational methods to enhance parameter estimation in nonlinear SIR models—showcasing my ability to navigate complex, probabilistic environments. Throughout my internships and research roles, I have consistently leveraged programming tools like Python, SQL, and Power BI to optimize systems and deliver actionable insights.With skills in optimization, stochastic modeling, asset pricing, and machine learning, I am eager to contribute to quantitative research and trading strategies. I thrive in fast-paced, data-driven environments and am passionate about developing solutions that drive both efficiency and profitability.
Experience
Quantitative Risk Management Associate
Feb 2026 — Present · New York, NY, US
Credit Risk Analytics
Education
UC San Diego
Bachelor of Applied Science - BASc, Undeclared
2020
Emory University
Bachelor's degree, Applied mathematics and Statistics
The Frederick Gunn School
High School Diploma
2017 — 2020
Columbia University
Master of Engineering - MEng, Financial Engineering
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