Quant Developer – Trading Analytics – Equity Derivatives Tech

Citi

Competitive base salary (annually reviewed); discr...
Hybrid
Python data engineering stack experience
High-performance data stores like trino kdb
Equities options and futures knowledge
The role involves partnering with traders and quants to deliver production-grade models and front-office applications for equity derivatives

Job Summary

  • The role involves partnering with traders and quants to deliver production-grade models and front-office applications for equity derivatives.
  • Citi is re-engineering its technology estate to achieve world-leading performance and resiliency across execution, prime, clearing, and margin processes.
  • Employees receive a competitive base salary, discretionary annual bonus, 27 days of annual leave, and access to extensive learning resources.

Matching Summary

The role involves partnering with traders and quants to deliver production-grade models and front-office applications for equity derivatives.

Salary

Competitive base salary (annually reviewed); Discretionary annual performance related bonus; Private Medical Care & Life Insurance included

Skills & Requirements

Must-have

  • Python data engineering stack experience
  • High-performance data stores like Trino KDB
  • Equities options and futures knowledge
  • Agentic frameworks for AI-native solutions
  • Production-grade model development skills

Nice-to-have

  • Hybrid work flexibility opportunities
  • Mentorship and continuous learning culture
  • Collaboration with high-calibre engineers
  • Experience with advanced execution platforms
  • Background in global market connectivity

Key Requirements

  • Degree in quantitative discipline such as Engineering or Applied Mathematics
  • Strong experience with Polars Parquet FastAPI Airflow Streamlit Ray
  • Demonstrable experience with agentic frameworks and context-engineering techniques

Work Rights

Not specified

Tailored Resume

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