Millennium
Quant Researcher/Data Scientist - Volatility Alpha Technology
$175K–$250K
New York, New York · On-site · Full-time · Posted Oct 6, 2026
- Experience
- At least three years in investment management or a quantitative research environment.
- Education
- Master’s degree or PhD in a quantitative STEM field, such as Physics, Mathematics, Statistics, Engineering, or Operations Research.
About the job
Conduct quantitative research and build datasets, models, infrastructure, and prototype strategies for global options and volatility investment processes.
What you'll do
- Research market volatility, options strategies, event volatility, alternative data, and AI-based hypothesis testing.
- Develop predictive models, systematic datasets, backtesting tools, and prototype alpha strategies.
- Partner with Senior Portfolio Managers to incorporate research outputs into investment and risk-management workflows.
What they ask for
- Master’s degree or PhD in a quantitative STEM field.
- At least three years of experience in investment management or a quantitative research environment.
- Strong programming skills in Python, R, MATLAB, or C++.
- Deep knowledge of financial markets, particularly options and derivatives.
Nice to have
- Experience with machine learning, statistical modeling, and data visualization.
- Experience across Equity, Commodities, Foreign Exchange, or Interest Rates markets.
Pay
$175,000 to $250,000 USD base salary
Tools
Python, R, MATLAB, C++
AI focus
Conduct AI-based hypothesis testing and develop predictive models using statistical learning techniques.
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