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Fixed Income Data Platform Senior Python Engineer - AVP

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Job Req Id:
25889737
Location(s):
Mississauga, Canada
Job Type:
On-Site/Resident
Posted:
Aug. 17, 2025

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

Fixed Income (FI) is the primary source of capital for corporations, governments, and nonprofits, providing liquidity and innovative solutions globally across the credit, municipal, and securitized markets.
FI’s activities include origination, structuring, investing, lending, and market making and it offers a variety of products including, but not limited to, corporate bonds, emerging markets bonds, asset backed securities, mortgage backed securities, collateralized loan obligations (CLOs), municipal securities, agency securities, short term interest rate products, loans, letters of credit, and derivative instruments, such as interest rate swaps, total return swaps, rate locks, and credit default swaps.
The Fixed Income Data Platform Team is the backbone of Fixed Income mission, providing the low latency, high concurrency, scalability, and availability needed to power our groundbreaking solutions. 
Our Data Platform Engineering team is on the cutting edge. We research, adapt, and deploy the latest open-source data platforms to meet Citi's unique needs.  We're a collaborative group that thrives on technical challenges and the satisfaction of building highly performant systems.
We're seeking a passionate and highly skilled senior Python developer to join our talented team of engineers in building and maintaining Citi's next-generation data platform targeted for quantitative scientists and traders to quickly iterate on and put into production analytical and trading tools.

Key Responsibilities:

  • Lead Airflow platform development for Fixed Income tech
  • Analyzes system requirements, including identifying program interactions and appropriate interfaces between impacted components and sub systems
  • Lead Sprint Planning, Tasking and Estimation of the assigned work for Airflow component
  • Participate in component and service design for Python analytical services
  • Mentor junior developers and conduct code reviews
  • Work on bug resolution and application improvements, such as performance and maintainability
  • May occasionally work a non-standard shift including nights and/or weekends and/or have on-call responsibilities
  • Stay abreast with new trends in open source tooling and champion tools that could help improve efficiency of the Fixed Income quant and data science community

Required Skills / Experience:

  • 3 years of hands on experience in building an enterprise scale highly componentized application using Python incl. web frameworks like Django or Flask and data science tools - Pandas, Polars, Streamlit
  • 3+ years experience with Docker and Kubernetes/Openshift
  • 3+ years experience with Python LLM tools (OpenAI, Vertex, Langchain) is a plus
  • At least 1 year of Experience in Airflow or equivalent Python scheduling framework
  • Experience working in a Continuous Integration and Continuous Delivery environment and familiar with Jenkins, TeamCity, Code Quality Tools - SonarQube, etc.
  • Proficient in industry standard best practices such as Design Patters, Coding Standards, Coding modularity, Prototypes etc.
  • Unit testing frameworks - PyTest
  • Understanding of the SDLC lifecycle for Agile & Waterfall methodologies
  • Excellent written and oral communication skills

Education:

  • Bachelor’s degree/University degree in Computer Engineering, Computer Science, Information Technology or equivalent experience

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Job Family Group:

Technology

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Job Family:

Systems & Engineering

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

Apache Airflow, Back-End Development, Jenkins (Software), Kubernetes, Python (Programming Language).

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

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