Quantitative Analyst / Developer – Multi-Desk & Low-Latency Electronic Execution

Citigroup Inc.; Greater London; Hybrid; GBP 90,000 - 170,000; Full time

Job summary

Citi seeks a Quantitative Analyst/Developer to join its electronic execution team in London. The role focuses on developing high-performance cash equity algorithmic trading platforms using Java and Rust, with backtesting in Python and kdb.

You will analyze market microstructure, collaborate with traders and risk teams, and drive ultra-low latency solutions. The role offers a hybrid work model with opportunities to work across global desks, and a strong emphasis on governance, compliance, and

Qualifications

• Experience in development or performance enhancement of execution algorithms or a quantitative modeling role.
• Strong programming skills in Java, Python, and kdb.
• Ability to clearly communicate complex technical and quantitative concepts.

Responsibilities

• Develop and support electronic execution platform for cash equity algorithmic trading using Java, Rust, or other technologies.
• Conduct microstructure research and analysis of EMEA equity markets using mathematical finance, statistics, and probability.
• Build backtesting frameworks and prototype quantitative research projects using Python and kdb.
• Monitor, analyse, and optimise platform performance for ultra-low latency and high throughput.
• Collaborate with internal traders, sales trading, execution advisory services, and technology professionals to deliver robust trading solutions.
• Partner with control functions to maintain governance and control infrastructure.
• Uphold a culture of responsible finance, governance, and ethical conduct.
• Assess risk and reward of transactions with regard to firm reputation and client protection.

Skills

Java

Python

kdb

Communication

Education

Master's or PhD in Financial Mathematics, Computer Science, Physics, or related field

Tools

kdb+

Job description

We are seeking a Quantitative Analyst/Developer to join our electronic execution team and drive the development of our cash equity algorithmic trading platforms. In this role, you will design and optimize high-performance trading systems using Java and Rust, directly impacting our internal and agency trading desks. If you are a collaborative problem-solver with a passion for market microstructure and quantitative research, you will thrive in our innovative and fast-paced environment.

Responsibilities

• Develop and support our electronic execution platform for the cash equity algorithmic trading business using Java, Rust, or other cutting-edge technologies.
• Conduct microstructure research and analysis of EMEA equity markets leveraging mathematical finance, statistics, and probability.
• Build backtesting frameworks and prototype quantitative research projects on algorithmic trading topics using Python and kdb.
• Monitor, analyze, and optimize platform performance to ensure ultra-low latency and high throughput.
• Collaborate closely with internal traders, sales trading, execution advisory services, and technology professionals to deliver robust trading solutions.
• Partner with control functions, including Legal, Compliance, Market and Credit Risk, Audit, and Finance, to maintain appropriate governance and control infrastructure.
• Uphold a culture of responsible finance, good governance, supervision, expense discipline, and ethical conduct.
• Assess risk and reward of transactions when making business decisions, demonstrating proper consideration for the firm's reputation and safeguarding its clients and assets.

Required qualifications and skills

• Experience in the development or performance enhancement of execution algorithms, or a comparable quantitative modeling and analytics role.
• Strong technical and programming skills in Java, Python, and kdb.
• Demonstrated ability to communicate complex technical and quantitative concepts clearly and concisely, both in writing and verbally.
• Master's or PhD degree in Financial Mathematics, Computer Science, Physics, or a related quantitative field, or equivalent practical experience in a relevant field.
• Commitment to driving compliance with applicable laws, rules, and regulations, while applying sound ethical judgment in all business practices.

Beneficial skills and qualifications

• Familiarity with Rust or other modern systems programming languages.
• Knowledge of EMEA equity market microstructure and electronic trading dynamics.
• Experience working with high-frequency data and time-series databases.

What we offer

• You will have global opportunities to grow your career locally or explore international experiences with opportunities around the world.
• You can expect a hybrid work model that supports in-office collaboration while providing remote flexibility.
• You can grow through our investment in professional development, including training programs, mentorship, and skill-building opportunities.
• You can leverage comprehensive employee wellness and well-being programs, including medical coverage, mental health resources, and initiatives promoting a healthy, balanced life.
• You will benefit from competitive retirement planning contributions and investment options to support your long-term financial goals, alongside parental and family support programs.

#LI-COF

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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