Quantitative Analyst – AI & Next-Gen Algorithmic Trading Platforms

Citi; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work environment

Training and mentorship programs

Wellness benefits

Job summary

Citi is seeking a collaborative Quantitative Analyst to advance our electronic execution platform using AI technologies in a hybrid London role. You will conduct deep microstructure research on EMEA equity markets and build high‑performance, low‑latency trading systems.

You will design and backtest algorithmic models in Python and kdb, monitor client trading performance, and collaborate with Sales Trading, Execution Advisory Services, and technology teams to align capabilities with business

Qualifications

• Master's or PhD in Financial Mathematics, Computer Science, Physics, or related quantitative field.
• Proven ability in quantitative modelling and analytics.
• Strong programming and communication skills.

Responsibilities

• Develop and scale Citi's core cash equity electronic execution platform using Java, Rust, and AI to optimize low-latency trading performance.
• Conduct deep microstructure research on EMEA equity markets using mathematical finance, statistics, and probability.
• 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 enhance execution quality and reduce market impact.
• Collaborate with Sales Trading, Execution Advisory Services, and technology teams to align system capabilities with business needs.
• Partner with Legal, Compliance, Risk, and Audit to ensure governance and supervision.

Skills

Java

Python

KDB

AI technologies

Financial mathematics

Statistical analysis

Communication

Market microstructure

Education

Master's or PhD in Financial Mathematics/CS/Physics

Tools

KDB+

Jupyter

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.

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.

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.