Quantitative Analyst -Cash Equity Algorithmic Trading - Director

Citi; Greater London; Hybrid; GBP 120,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Medical coverage

Mental health resources

Parental and family support

Competitive retirement planning

Training & mentorship

Job summary

Citi seeks a Senior Quantitative Analyst to develop and scale an AI-enhanced cash equity execution platform in London. You will research EMEA market microstructure, backtest strategies, and deliver quantitative insights to improve execution quality.

Collaboration with Sales Trading, advisory, and tech teams is essential. The role requires advanced degrees (MS/PhD) in a quantitative field, and strong proficiency in Java, Python, Rust, and kdb+/Q.

Qualifications

• Extensive background in quantitative modeling or analytics, ideally in finance, focusing on algorithmic trading systems.
• Proficiency in Java and Python; strong software design and development fundamentals.
• Experience applying probability, statistics, and mathematical finance to market data and equations.
• Proven track record using AI to design high‑performance trading applications.
• Master's or PhD in a quantitative field or equivalent practical experience.
• Strong written and verbal communication to explain complex concepts.

Responsibilities

• Build and scale our cash equity electronic execution platform using Java, Rust, and AI technologies.
• Conduct EMEA equity market microstructure research and apply advanced statistics to extract insights.
• Backtest and prototype quantitative strategies using Python and kdb+ for validation.
• Monitor client trading performance and deliver quantitative insights to improve execution quality.
• Collaborate with Sales Trading, Execution Advisory Services, and technology teams to align capabilities.

Skills

Quantitative modeling

Algorithmic trading

Java

Python

Probability theory

Statistics

Mathematical finance

AI technologies

Communication

Research & analysis

Education

Master's or PhD in quantitative field

Tools

Java

Python

Rust

kdb+/Q

Job description

We are seeking a strategic Senior Quantitative Analyst to develop and scale our cash equity algorithmic trading electronic execution platform. In this role, you will leverage cutting‑edge AI technologies and mathematical methods to research EMEA equity market microstructure and drive platform innovation. If you thrive on complex quantitative deliverables and want to shape our directional trading strategy, this role offers significant growth and impact.

Responsibilities

• Build and scale our cash equity electronic execution platform using Java, Rust, and advanced AI technologies to power the next generation of algorithmic trading systems.
• Conduct EMEA equity market microstructure research, applying advanced statistics, probability, and mathematical finance to extract actionable trading insights.
• Backtest and prototype quantitative research strategies, leveraging Python and kdb+ to validate and optimize algorithmic trading models.
• Monitor and analyze client trading performance, delivering quantitative insights that optimize execution quality and client outcomes.
• Partner with Sales Trading, Execution Advisory Services, and technology teams to align our platform capabilities with evolving business needs.
• Collaborate with control functions—including Risk, Compliance, Legal, and Finance—to ensure robust governance and maintain a strong control infrastructure.
• Maintain a focus on risk management and ethical practices, ensuring trading decisions protect our clients, reputation, and assets.
• Complete and maintain all required professional registrations and licenses within the designated timeframes to support regulatory compliance.

Required qualifications and skills

• Extensive background in quantitative modeling or analytics, ideally within the financial sector, focusing on algorithmic trading systems.
• Deep proficiency in Java and Python, with a strong foundation in software design and development principles.
• Proven experience applying probability theory, statistics, and mathematical finance to solve complex analytical equations and analyze market data.
• Demonstrated experience utilizing AI technologies to design and build high‑performance trading applications.
• Master's or PhD degree in a quantitative field (such as Mathematics, Financial Engineering, Physics, or Computer Science), or equivalent practical experience in a relevant field.
• Strong written and verbal communication skills, with the ability to explain complex quantitative concepts to technical and non‑technical partners.

Beneficial skills and qualifications

• Hands‑on experience with Rust and kdb+/Q for real‑time data analysis and high‑frequency trading.
• Familiarity with EMEA equity market microstructure and cash equity execution dynamics.
• Direct experience collaborating with risk management, compliance, or legal teams in a regulated global environment.

What we offer

• You will grow your career locally or explore international opportunities, supported by our investment in your professional development through training and mentorship programs.
• You can expect a flexible work environment with our hybrid model, which blends in‑office collaboration with remote flexibility to support your work‑life balance.
• You’ll thrive in an innovative, inclusive culture where diverse perspectives are celebrated, and you will collaborate closely with world‑class sales trading, execution advisory, and technology professionals.
• You can leverage comprehensive wellness benefits, including medical coverage, mental health resources, parental and family support, and competitive retirement planning.

Job Family Group

Institutional Trading

Job Family

Quantitative Analysis

Time Type

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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