Quantitative Analyst – AI & Next-Gen Algorithmic Trading Platforms

Citibank (Switzerland) AG; Greater London; On-site; Confidential; Full time

Benefits offered by this job

Hybrid work environment

Wellness benefits

Job summary

Citi is seeking a collaborative Quantitative Analyst to evolve its electronic execution platform with AI technologies. The role combines hybrid work in London with deep research into EMEA markets and the development of high‑performance trading systems.

You will apply Java, Python, and kdb to backtest models, analyze execution quality, and work with cross‑functional teams to align systems with business goals. Strong academic credentials in quantitative fields are valued.

Qualifications

• Java, Python, and kdb programming experience.
• Experience developing or enhancing execution algorithms or quantitative modelling.
• Practical experience applying AI technologies to trading applications.
• Master’s or PhD in Financial Mathematics, Computer Science, Physics, or related quantitative field, or equivalent practical experience.
• Excellent communication and diplomacy skills with diverse partners.
• Solid understanding of market microstructure, statistics, and risk management.

Responsibilities

• Develop and scale our cash equity electronic execution platform using Java, Rust, and AI technologies.
• Conduct microstructure research on EMEA equity markets with quantitative methods.
• Design and backtest prototype algorithmic trading models in Python and kdb.
• Monitor client trading performance to improve execution quality and reduce market impact.
• Collaborate with Sales Trading, Execution Advisory Services and technology teams to align capabilities with business needs.
• Coordinate with Legal, Compliance, Risk and Audit to maintain governance and controls.
• Assess risk–reward profiles in decision making and uphold ethics and expense discipline.

Job description

We are seeking a collaborative Quantitative Analyst to drive the evolution of our electronic execution platform by integrating cutting‑edge AI technologies. In this hybrid role, you will conduct deep microstructure research of EMEA equity markets and build high‑performance, low‑latency algorithmic trading systems. This position offers a unique opportunity to make a strategic impact on our business while accelerating your career in quantitative finance.

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, utilizing mathematical finance, statistics, and probability to deliver 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 a robust governance and supervisory infrastructure.
• Assess risk‑reward profiles diligently when making business decisions, demonstrating strong commitment to ethics, expense discipline, and safeguarding our reputation.

Required qualifications and skills

• Technical proficiency and programming skills in Java, Python, and kdb.
• Experience developing or enhancing execution algorithms, or a comparable quantitative modelling and analytics role.
• Practical experience applying AI technologies to build or optimize algorithmic trading applications.
• Master’s or PhD degree in Financial Mathematics, Computer Science, Physics, or related quantitative topics, or equivalent practical experience in a relevant field.
• Excellent communication and diplomacy skills, with a demonstrated ability to guide, influence, and collaborate with diverse technical and business partners.
• Clear understanding of market microstructure, statistical analysis, and risk management.

Beneficial skills and qualifications

• Familiarity with low‑latency systems and systems programming languages like Rust or C++.
• Exposure to the EMEA cash equities landscape and smart order routing logic.
• Knowledge of financial industry control functions, regulatory compliance, and governance frameworks.

What we offer

You will grow your career locally or explore international opportunities through customized training programs, mentorship, and technical skill-building. You can expect a supportive hybrid work environment that balances in‑office collaboration with remote flexibility. You'll thrive in an inclusive culture of responsible finance, ethics, and innovation, collaborating with recognized technical experts. You can leverage comprehensive wellness benefits, including medical coverage, mental health resources, parental leave, and competitive retirement planning options.

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. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Time Type: Full time