Albert Bow
Quantitative Researcher - Chicago - $250,000 + bonus
Albert Bow, Chicago, Illinois, United States, 60290
Quantitative Researcher - Chicago - $250,000 + bonus
Join to apply for the
Quantitative Researcher - Chicago - $250,000 + bonus
role at
Albert Bow Quantitative Researcher - Chicago - $250,000 + bonus
Join to apply for the
Quantitative Researcher - Chicago - $250,000 + bonus
role at
Albert Bow Get AI-powered advice on this job and more exclusive features. Overview
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. Overview
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.
Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Job function Finance and Sales Industries Staffing and Recruiting Referrals increase your chances of interviewing at Albert Bow by 2x Get notified about new Quantitative Researcher jobs in
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Join to apply for the
Quantitative Researcher - Chicago - $250,000 + bonus
role at
Albert Bow Quantitative Researcher - Chicago - $250,000 + bonus
Join to apply for the
Quantitative Researcher - Chicago - $250,000 + bonus
role at
Albert Bow Get AI-powered advice on this job and more exclusive features. Overview
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. Overview
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.
Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Job function Finance and Sales Industries Staffing and Recruiting Referrals increase your chances of interviewing at Albert Bow by 2x Get notified about new Quantitative Researcher jobs in
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