At a Glance
- Tasks: Drive the evolution of AI-driven trading platforms and conduct deep market research.
- Company: Join a leading financial institution focused on innovation and collaboration.
- Benefits: Enjoy competitive pay, wellness benefits, mentorship, and flexible work options.
- Other info: Inclusive culture with opportunities for international growth and professional development.
- Why this job: Make a strategic impact in finance while accelerating your career in quantitative analysis.
- Qualifications: Proficiency in Java, Python, and experience in algorithmic trading or quantitative roles.
The predicted salary is between 72000 - 88000 £ per year.
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.
Quantitative Analyst - AI & Next-Gen Algorithmic Trading Platforms employer: Citigroup, Inc.
Citi London is an exceptional employer, offering a dynamic and inclusive work environment that fosters innovation and collaboration. With a competitive salary, generous annual leave, and a hybrid working model, employees enjoy a healthy work-life balance while having access to extensive learning and development resources. As a key player in the Equity Derivatives Technology team, you will have the opportunity to lead impactful projects and grow your career within a globally recognised financial institution.
