Advanced degree (Master's or PhD) in a quantitative field such as Mathematics, Statistics, or Computer Science.
5+ years of experience in quantitative research, preferably in proprietary trading or systematic trading.
Strong skills in statistical modeling and data analysis.
Proficient in Python; familiarity with R, MATLAB, or Java is a plus.
Genuine interest in financial markets and systematic trading strategies.
Ability to clearly communicate complex quantitative ideas to diverse teams.
Comfortable in a fast-paced, initiative-driven research environment.
Responsibilities
Research and enhance quantitative pricing and forecasting models for ETFs and equities.
Analyze market microstructure and trading data to uncover new alpha opportunities.
Design, calibrate, and validate models for changing market conditions.
Build datasets and analytical tools to support systematic trading.
Collaborate with traders and engineers to implement new trading ideas.
Evaluate trading performance and leverage data insights to refine strategies.
Benefits
Collaborative research environment that encourages rapid idea implementation.
Opportunity to work alongside experienced traders and technologists.
Access to cutting-edge tools and technologies for quantitative research.
Potential for professional growth within a leading proprietary trading firm.
Full Job Description
Quantitative Researcher - ETF Trading | Chicago
A leading Tier 1 proprietary trading firm is looking for an experienced Quantitative Researchers / Traders to join its high-performing ETF trading team in Chicago.
Working alongside traders and technologists, you'll research market behaviour, develop and refine pricing models, and build quantitative tools that directly impact trading performance across global ETF and equity markets. This is an opportunity to contribute to a highly collaborative research environment where ideas move quickly from concept to production.
What you'll be doing
Research and enhance quantitative pricing and forecasting models across ETFs, equities and related markets.
Analyse market microstructure and trading data to identify new alpha opportunities.
Design, calibrate and validate models for evolving market conditions.
Build datasets, research infrastructure and analytical tools to support systematic trading.
Partner closely with traders and engineers to develop and implement new trading ideas.
Evaluate trading performance and use data-driven insights to improve existing strategies.
What we're looking for
Advanced degree (Master's or PhD preferred) in Mathematics, Statistics, Computer Science, Engineering, Physics or another highly quantitative discipline.
Around 5+ years' experience in quantitative research, ideally within proprietary trading, market making or systematic trading.
Strong statistical modelling and data analysis skills.
Excellent Python programming skills; experience with R, MATLAB, Java or similar languages is advantageous.
Deep interest in financial markets and systematic trading.
Ability to communicate complex quantitative concepts clearly and work effectively within cross-functional teams.
Comfortable operating in a fast-paced, research-driven environment where ownership and initiative are highly valued.
High levels of integrity, attention to detail and analytical problem-solving ability.
