Equities Quant Platform Engineering Lead – Python (Technology) – VP

Join to apply for the Equities Quant Platform Engineering Lead – Python (Technology) – VP role at Citi

Equities Quant Platform Engineering Lead – Python (Technology) – VP

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Join to apply for the Equities Quant Platform Engineering Lead – Python (Technology) – VP role at Citi

Equities Quant Platform Engineering Lead – Python (Technology) – VP

Overview

Citi is a world-leading global bank. We have approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. We provide consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. We enable clients to achieve their strategic financial objectives by providing them with cutting-edge ideas, best-in-class products and solutions, and unparalleled access to capital and liquidity.

What We Do / The Team

Are you a passionate and experienced engineering leader eager to build high-impact front office quant tools? 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. If you thrive in a fast-paced, collaborative environment and have a passion for markets and quantitative research, we want to hear from you!

Role Overview/What will you do:

As the Engineering Lead, you'll guide the technical direction and implementation of the platform. This involves:

• 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. You'll 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.
  
  

• Extensive background in delivering production-grade, data-centric applications for quantitative trading and analytics, with demonstrated expertise in:
• The python data engineering stack (Polars, Parquet, FastAPI, Jupyter, Airflow, Streamlit, Ray)
• High-performance data stores and query engines (Starburst, Snowflake)
• Real-time streaming analytics technologies (Kafka, Flink)
• 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.
  

• 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++
  
  

• 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
  
  

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Banking, Financial Services, and Investment Banking

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