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Equities Quant Platform Engineering Lead – Python

United Kingdom, London · Job Posted January 20, 2026
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Job Description

Citi's Equities Technology team is undergoing significant growth and investment, specifically within our high-priority systematic trading and analytics systems. We are seeking a hands-on Engineering Lead to drive the development of our next-generation quantitative development platform serving the Equities Cash, Derivatives, and Prime businesses. This is a unique opportunity to make a significant impact as the platform enters its key growth phase. You will be instrumental in shaping critical capabilities including building an event-driven equity options back tester and AI-powered data agents delivering market intelligence via rich dashboards.

Job Responsibility

  • Guide the technical direction and implementation of the platform
  • Championing engineering excellence through hands-on feature creation, rigorous code quality via pull request reviews, and by mentoring junior engineers to establish robust coding standards and guardrails
  • Architecting scalable, secure re-usable components
  • Drive the design process, aligning with or challenging existing blueprints, seeking consensus from senior leads and stakeholders
  • Staying up to date with open-source solutions and latest trends to accelerate business outcomes

Requirements

  • Extensive background in delivering production-grade, data-centric applications for quantitative trading and analytics
  • Demonstrated expertise in the python data engineering stack (Polars, Parquet, FastAPI, Jupyter, Airflow, Streamlit, Ray)
  • Demonstrated expertise in high-performance data stores and query engines (Starburst, Snowflake)
  • Demonstrated expertise in real-time streaming analytics technologies (Kafka, Flink)
  • Demonstrated expertise in cloud container technologies (AWS, Azure, GCP, Docker, Kubernetes)
  • Proven success in enhancing developer experience that reduces friction in coding, building and deploying APIs and client libraries
  • Real-world application of generative AI prompt engineering and RAG pipelines
  • Full-stack HTML5 web development skills

Nice to have

  • Understanding of Equities Cash, D1 & Deriv market mechanics and products via sell-side trading projects
  • Familiarity with low-latency programming languages such as Rust or C++

What we offer

  • 27 days annual leave (plus bank holidays)
  • A discretional annual performance related bonus
  • Private Medical Care & Life Insurance
  • Employee Assistance Program
  • Pension Plan
  • Paid Parental Leave
  • Special discounts for employees, family, and friends
  • Access to an array of learning and development resources
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