Quantitative Researcher (Machine Learning)

Location: Chicago or New York City, United States

Annual base salary: $250,000–$300,000, plus an annual discretionary bonus.

Company

Diversified proprietary trading firm combining sophisticated technology and quantitative research across global financial markets and multiple asset classes.

What you will do

• Develop mathematical models and automated trading strategies across multiple asset classes.
• Extract predictive signals from financial data using statistical analysis and machine learning.
• Conduct quantitative analysis to identify relationships and historical market trends.
• Prototype algorithmic trades and automate human decision-based trading strategies.
• Collaborate with software developers to translate research strategies into production software.
• Optimize order execution, risk management, and trading-system performance.

Requirements

• Technical degree focused on statistics, machine learning, signal processing, optimization, or control; graduation between December 2026 and August 2027 with a Bachelor's, Master's, or PhD.
• Strong statistics, problem-solving, and mathematical modeling skills.
• Significant hands-on experience applying machine learning algorithms to real-world problems.
• Programming expertise in Python, R, MATLAB, or C++ for research.
• Experience handling large datasets and developing models.
• Ability to communicate ideas concisely, take ownership, and deliver practical research results promptly.

Culture & Benefits

• Autonomy, independent exploration, and encouragement of original research approaches.
• Access to clean data, compute resources, experienced researchers, traders, and software developers.
• Training is provided; prior financial-market experience is not required.
• Medical, pharmacy, dental, and vision insurance.
• 401(k) with discretionary employer match, disability and life insurance, health savings accounts, and flexible spending accounts.