Bachelor's, master's, or PhD in applied math, engineering, statistics, computer science, physics, or related fields required.
Ability to think systematically and quantitatively, managing uncertainty with a statistical approach.
Experience with modern AI concepts such as Large Language Models (LLMs) is highly desirable.
Capacity to translate mathematical models and algorithms into programming languages like Python, R, or C++.
Strong multitasking skills to thrive in a fast-paced environment.
Excellent analytical skills and a keen attention to detail.
Strong verbal and written communication abilities.
Responsibilities
Develop deep knowledge of financial markets to inform trading strategies.
Innovate using one of the industry's leading trading platforms.
Conceptualize and enhance valuation strategies through mathematical modeling.
Design, build, and implement predictive models for generating trading signals.
Leverage unconventional data sources to drive trading strategy innovations.
Conduct research and statistical analysis for refining monetization systems for trading signals.
Benefits
Opportunities for career advancement in a prestigious firm.
Access to advanced technology and tools in trading.
Collaborative environment encouraging innovation.
Mentorship from experienced quantitative traders.
Full Job Description
Job Description
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.
Your Objectives:
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.
Your Skills & Talents:
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.
