Quantitative Analyst -Cash Equity Algorithmic Trading – Director

Overview

In this role you will advance Citi’s cash equity algorithmic trading platform and drive innovation using AI and quantitative methods. You will work across cross-functional teams to shape directional trading strategies and improve execution quality, focusing on risk-aware, compliant decision making. You’ll tackle market microstructure research in the EMEA region and translate insights into scalable trading systems. This position offers high-impact work with growth potential in a regulated, global trading environment.

Pay / Benefits

• hybrid work model
• training and mentorship
• medical coverage
• mental health resources
• parental and family support
• retirement planning

Responsibilities

• Build and scale the cash equity electronic execution platform using Java, Rust, and AI tech
• Conduct EMEA equity market microstructure research with statistics and mathematical finance
• Backtest and prototype strategies using Python and kdb+ to optimize models
• Monitor client trading performance and deliver quantitative insights to improve execution
• Collaborate with Sales Trading, Execution Advisory, and technology teams to meet business needs
• Collaborate with Risk, Compliance, Legal, and Finance to maintain governance and controls
• Maintain risk management focus and ethical trading practices to protect clients and Citi
• Complete and maintain professional registrations and licenses for regulatory compliance

Key requirements

• Extensive background in quantitative modeling or analytics in finance, focused on algorithmic trading systems
• Proficiency in Java and Python; strong software design and development principles
• Experience applying probability, statistics, and mathematical finance to market data
• Proven experience applying AI technologies to trading applications
• Master’s or PhD in a quantitative field, or equivalent practical experience
• Strong written and verbal communication skills, ability to explain complex concepts to diverse audiences

• Strong communication skills
• Collaborative mindset across cross-functional teams
• Analytical and problem-solving orientation
• Java
• Python
• AI technologies for trading

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