Quantitative Trader - University Graduate (US - New York

At Citadel Securities, our quantitative traders make complex risk decisions, model markets, and bring trading strategies to life every day. As a markets and trading expert, you’ll use predictive analytics and sophisticated statistical techniques to monitor risk, respond to market signals and develop trading strategies across Options, ETFs, Equities, Fixed Income, Commodities and Currencies.

• Develop in-depth knowledge of a financial market
• Innovate by using one of the industry’s most powerful trading platforms
• Conceptualize valuation strategies, develop, and continuously improve upon mathematical models.
• Design, build, and implement predictive models to generate novel trading signals.
• Use unconventional data sources to drive innovation.
• Conduct research and statistical analysis to build and refine monetization systems for trading signals.

• Bachelor's, master's or PhD in applied math, engineering, statistical modeling, calculus, computer science, physics or related disciplines required
• Ability to think about the world systematically and quantitatively, as well as the ability to deal with uncertainty in a rigorous and statistical approach
• Experience with modern AI concepts such as Large Language Models (LLMs) and agentic systems is highly desirable.
• Expertise in translating mathematical models and algorithms into code (Python, R or C++).
• Ability to manage multiple tasks and thrive in a fast-paced team environment
• Excellent analytical skills, with strong attention to detail
• Strong written and verbal communication skills

Opportunities available in New York.

In accordance with applicable law, the base salary range for this role is $235,000 to $300,000.

In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax-free savings plans, and access to other healthcare programs.