Quantitative AI Trader – Low-Latency Equity Platforms

Citibank (Switzerland) AG

Greater London

Hybrid

Confidential

Full time

14 days+

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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.