AI-Driven Quant Analyst for Low-Latency Trading Platforms

Citigroup Inc.; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Hybrid work environment

Wellness benefits

Parental leave

Retirement planning

Job summary

Citi is seeking a collaborative Quantitative Analyst to advance our electronic execution platform by integrating cutting-edge AI technologies. This hybrid role in Greater London involves deep microstructure research of EMEA equity markets and building high-performance, low-latency trading systems.

You will work with Java, Python and kdb, backtest models, monitor trading performance, and collaborate with Sales Trading, Compliance and Technology teams to align capabilities with business needs.

Qualifications

• Advanced programming in Java, Python, and kdb.
• Experience building or enhancing execution algorithms or equivalent quantitative analytics.
• Applied AI techniques to design or optimize algorithmic trading systems.
• Strong academic background in quantitative fields; research-based or practical experience.
• Excellent communication and collaboration with diverse technical and business partners.
• Solid understanding of market microstructure, statistics, and risk management.

Responsibilities

• Develop and scale our core cash equity electronic execution platform using Java, Rust, and next-generation AI technologies to optimize low-latency trading performance.
• Conduct deep microstructure research on EMEA equity markets, using mathematical finance, statistics, and probability for actionable insights.
• Design and backtest prototype algorithmic trading models in Python and kdb to identify and capture new market opportunities.
• Monitor and analyze client trading performance to continuously enhance execution quality and reduce market impact.
• Collaborate with cross-functional teams, including Sales Trading, Execution Advisory Services, and technology professionals, to align system capabilities with commercial needs.
• Partner with control functions such as Legal, Compliance, Risk, and Audit to ensure robust governance and supervision infrastructure.
• Assess risk‑reward profiles diligently when making business decisions, upholding ethics and expense discipline.

Skills

Java

Python

kdb

Communication

Education

Master's/PhD in Financial Mathematics/CS/Physics or related quantitative field

Job description

Citi is seeking a collaborative Quantitative Analyst to advance our electronic execution platform by integrating cutting-edge AI technologies. This hybrid role in Greater London involves deep microstructure research of EMEA equity markets and building high-performance, low-latency trading systems.

You will work with Java, Python and kdb, backtest models, monitor trading performance, and collaborate with Sales Trading, Compliance and Technology teams to align capabilities with business needs.