Volatility Alpha Quant Researcher & Data Scientist

Millennium Management LLC; New York (NY); On-site; USD 175,000 - 250,000; Full time

Job summary

Millennium is seeking a Quant Researcher/Data Scientist focused on Volatility Alpha Technology in New York. You will conduct quantitative research on market volatility, develop predictive models, and build backtesting and data pipelines to support alpha strategies.

The role requires a PhD or Master’s in a quantitative field, 3+ years in a research environment, and strong programming in Python/R/MATLAB/C++. You will work with PMs to integrate datasets into trading and risk workflows.

Qualifications

• Master’s/PhD in a quantitative STEM field.
• 3+ years of experience in investment management or a quantitative research environment.
• Strong programming in Python, R, MATLAB, or C++.
• Deep knowledge of options and derivatives.
• Experience with machine learning, statistical modeling, and data visualization.
• Experience across Equity, Commodities, FX, or Interest Rates markets.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Conduct quantitative research on market volatility and backtesting platform development.
• Research global systematic options markets and datasets for alpha development.
• Develop predictive models for use in investment processes.
• Build robust quantitative research infrastructure and datasets for options/volatility markets.
• Partner with Senior Portfolio Managers to integrate datasets into investment strategies and risk workflows.
• Contribute to prototype alpha strategies across the Volatility Alpha Development platform.

Skills

Quantitative research

Statistical modeling

Data visualization

Machine learning

Education

MS/PhD in STEM

Tools

Python

R

MATLAB

C++

Job description

Millennium is seeking a Quant Researcher/Data Scientist focused on Volatility Alpha Technology in New York. You will conduct quantitative research on market volatility, develop predictive models, and build backtesting and data pipelines to support alpha strategies.

The role requires a PhD or Master’s in a quantitative field, 3+ years in a research environment, and strong programming in Python/R/MATLAB/C++. You will work with PMs to integrate datasets into trading and risk workflows.