Quantitative Researcher | Chicago | $250,000 + bonus 

My client is a leading proprietary trading firm based in Chicago, focused on leveraging advanced statistical methods, cutting-edge technology, and deep market insight to capture opportunities in global markets. They are currently seeking highly talented Quantitative Researchers to join their high-impact team and contribute directly to the development and optimization of algorithmic trading strategies.

Key Responsibilities:

• Research and develop systematic trading strategies across a range of asset classes, including equities, futures, and options.
• Analyze large, high-frequency datasets to identify inefficiencies and alpha-generating signals.
• Design and implement quantitative models for signal generation, risk management, and portfolio optimization.
• Collaborate closely with traders, engineers, and fellow researchers to iterate and refine strategies in a fast-paced environment.
• Conduct backtesting and performance evaluation using robust statistical techniques.
• Stay up to date with academic and industry research to drive innovation and maintain a competitive edge.

Required Qualifications:

• PhD or Master’s degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Electrical Engineering, or related disciplines.
• Exceptional programming skills in Python, C++, or similar languages; strong command of data analysis tools.
• Solid understanding of probability, statistics, optimization, and time series analysis.
• Demonstrated experience in signal generation, statistical arbitrage, or high-frequency trading (internships or academic projects acceptable for junior roles).
• Strong problem-solving skills with a rigorous, detail-oriented mindset.
• Ability to thrive in a collaborative, intellectually curious environment.

Preferred Qualifications:

• Prior experience at a hedge fund, proprietary trading firm, or quantitative research lab.
• Experience working with real-time data, tick-level analysis, or exchange microstructure.
• Familiarity with machine learning techniques and their application to financial data.

What They Offer:

• Opportunity to work with top-tier talent in a collaborative, meritocratic environment.
• Access to vast data resources and high-performance infrastructure.
• Competitive compensation package including base salary, performance bonuses, and benefits.
• Supportive culture that values innovation, transparency, and continuous learning.