Quantitative Analyst -Cash Equity Algorithmic Trading - Director

Citi; New York (NY); Hybrid; USD 180,000 - 280,000; Full time

Benefits offered by this job

Hybrid work model

Wellness benefits

Career development programs

Job summary

Citi seeks a Director-level Quantitative Analyst to develop and scale its cash equity algorithmic trading platform, leveraging AI and advanced mathematics to advance trading technology.

You will research market microstructure, backtest strategies, and collaborate with Sales Trading, risk, compliance, and technology teams to ensure robust governance and execution quality. The role offers global impact and opportunities for growth within a hybrid work model.

Qualifications

• Extensive background in quantitative modeling or analytics, ideally within the financial sector.
• Strong foundation in statistics, probability and mathematical finance.
• Experience applying AI technologies to trading systems.
• Advanced degree in a quantitative field or equivalent practical experience.
• Strong written and verbal communication skills for technical and non-technical partners.

Responsibilities

• Build and scale our cash equity electronic execution platform using Java, Rust, and AI technologies.
• Research equity market microstructure and drive platform innovation with quantitative methods.
• Backtest and prototype quantitative strategies using Python and kdb+ to validate models.
• Monitor client trading performance and deliver insights to optimize execution quality.
• Collaborate with Sales Trading, risk, compliance, and technology teams to ensure governance.

Skills

Quantitative modeling

AI techniques

Communication skills

Risk management understanding

Education

Master's or PhD in a quantitative field

Tools

Java

Python

Rust

kdb+/Q

Job description

Quantitative Analyst -Cash Equity Algorithmic Trading - Director

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Req Id:

26979507

Location(s):

London, England, United Kingdom

Job Type:

Hybrid

Posted:

Jul. 24, 2026

Job Overview

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.

If you are ready to drive innovation in algorithmic trading and make a global impact, apply today to join our team at Citi.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.