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Senior Data Engineer - Derivatives Trading Analytics

https://www.citi.com/ Logo

Citi

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Location:
Canada , Mississauga

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

120800.00 - 170800.00 USD / Year
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Job Description:

Equities Technology at Citi is undertaking a bold, multi‑year transformation to build a best‑in‑class global platform across execution, prime, clearing and cross‑product margining. We are re‑engineering our technology estate to achieve world‑leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernised post‑trade, clearing and margin processes. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. As part of the team, you’ll collaborate closely with high‑calibre engineers and deeply engaged business and product partners - working together to define and deliver the next generation of Equities technology at Citi. Our front office quantitative development team in Citi is seeking a collaborative, hands-on Senior Data Engineer to work on a best-in-class data and analytics platform - building and distributing analytics to the Equity Derivatives Markets business.

Job Responsibility:

  • Build our data platform using a modern data engineering stack
  • Create data pipelines and services for market data, trade data, and derived analytics, to power tools for trade idea generation, volatility analysis, flow analysis, basket/index analytics and more
  • Partner closely with traders and quants to productionize data and analytical workflows

Requirements:

  • 6-10 years of relevant strong experience with the Python data engineering stack, including Polars, open table formats, FastAPI, and Airflow
  • Experience with high-performance data stores and query engines such as Trino and KDB
  • Experience working with Docker or similar container orchestrations technologies
  • Experience with financial products such as equities, options, and futures
  • Demonstrable experience with agentic frameworks for software development and AI-native solutions using context-engineering techniques
  • Deep understanding of system architecture, data flows, and distributed systems
  • A degree in a computer science, engineering, mathematical or other related discipline

Nice to have:

  • Experience in setting up catalog services
  • Curiosity to learn and explore technologies in Data Engineering landscape
  • Exposure to modern engineering practices using AI —leveraging AI‑assisted tooling to accelerate development, experimentation, and problem solving while maintaining engineering rigor

Additional Information:

Job Posted:
May 05, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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