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Business: Equity Quantitative Research (EQR)

Title: Quantitative Researcher, Equity Model Research (EMR)

Location: New York

Citadel is one of the world's leading alternative investment managers. We manage capital on behalf of many of the world's preeminent private, public and nonprofit institutions. We seek the highest and best use of investor capital in order to deliver market‑leading results and contribute to broader economic growth. For over 30 years, Citadel has cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers and engineers in the world. Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact.

Equity Quantitative Research (EQR) sits at the intersection of a fundamental investment approach and quantitative rigor and discipline. Teams of quantitative researchers and developers work together to build and scale one of the largest equities portfolios in the market by optimizing various aspects of the investment, risk management, portfolio construction, and trade execution lifecycle. EQR's teams are small and highly collaborative – each member makes meaningful contributions to the research agenda and direction, and has visible impact in Citadel's investments.

The Equity Model Research team (EMR) is responsible for the tools and analytics required for portfolio construction, risk management, and hedging of Citadel's equities portfolios. The customized risk models and hedging framework developed by EMR are central to Citadel's ability to manage our business and provide a competitive advantage to our investment teams.

• Research portfolio construction and optimization in the context of large complex equity portfolios.
• Apply cutting edge computational techniques and statistical methods to solve complex problems.
• Build proprietary risk models for both fundamental and quant equity long‑short strategies.
• Develop econometric and mathematical models to define stress scenarios and estimate the statistical properties of drawdowns.
• Leverage economic models and financial analysis to define fundamental factors driving the cross‑section of stock returns.
• Engage with engineering and research teams to implement analytics in production.
• Work closely with Portfolio Managers and Risk Managers to understand and incorporate risk metrics and methodologies within the investment process.
• Stay up to date on the latest academic and industry research and challenge yourself to continually improve and challenge the way things are done.
• Explore new and alternative data sources while developing a deep understanding of financial markets.

• Bachelors, Masters, or Ph.D. in Statistics, Mathematics, Operations Research, Economics or a related field.
• Advanced training in Statistics, Mathematics, Finance/Financial Engineering or a related field.
• Strong mathematical and/or statistical modeling background.
• Demonstrated empirical skill; comfortable with analysis of large datasets.
• Intellectual curiosity and passion for solving investment problems through the use of technology and fundamentals.
• Demonstrated interest in or knowledge of investments, including asset pricing, empirical anomalies and market microstructure.
• Previous exposure to a quantitative research role with exposure to equity factor models preferred.
• Experience using statistical packages (e.g. Matlab, R) and experience with programming & scripting languages (e.g. Python, C/C++).

In accordance with New York City's Pay Transparency Law, the base salary range for this role is $175,000 to $300,000. Base salary does not include other forms of compensation or benefits.