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

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.

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.

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. Ready to shape the future of electronic trading? Apply today to join our team at Citi. #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.