In this role you will build data-driven, model-led trading analytics and desk tooling to support Sales, Trading, and Quant teams. You’ll deliver production-grade pricing, risk insights, and desk workflows in a front-office context within Citi’s Equities Technology transformation. You collaborate with traders and quants to create scalable, cloud-hosted systems that empower revenue generation and real-time decision making. This is a hands-on opportunity to shape the next generation of equities technology at scale.
Pay / Benefits
27 days annual leave (plus bank holidays)
Discretionary annual bonus
Private medical care & Life Insurance
Pension Plan
Paid Parental Leave
Learning and development resources
Responsibilities
Partner with traders and quants to deliver production-grade applications and services
Build real-time pricing and curve-marking tools supporting customer flows and revenue generation
Develop reusable libraries, APIs, and AI agents to accelerate desk workflows
Key requirements
Strong software engineering experience in Python and/or Java, building enterprise-grade, cloud-hosted systems
Experience working directly with trading desks delivering mission-critical capabilities from concept to production
Good understanding of derivatives pricing and risk management, preferably in equities markets
Practical experience with agentic development frameworks and patterns
Collaborative communication with cross-functional teams (traders, quants, product partners)
Problem-solving mindset and proactive stakeholder engagement
We use essential cookies to make this site work. With your permission we would also like to use the optional cookies below. Nothing optional is set until you choose, and you can change your mind at any time from "Cookie settings" at the bottom of every page. Cookie policy.
Essential — keep the site working and secure, and remember the choice you make here. Always on.