Fixed Income Data Python Platform Engineer - Assistant Vice President

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

Analyzes system requirements, including identifying program interactions and appropriate interfaces between impacted components and sub systems

Participate in Sprint Planning, Tasking and Estimation of the assigned work for Python platform

Participate in component and service design for Python analytical services

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

Work closely with quants and data scientists to help them use platform capabilities and develop efficient analytical tools

Continuously look to automate manual touchpoints in the technology delivery pipeline

Required Skills / Experience

5 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, Airflow

Experience with Docker and Kubernetes/Openshift

Experience with Python LLM tools (OpenAI, Vertex, Langchain) is a plus

Experience with Dev Ops technologies - Ansible, Chef is a plus

Experience working in a Continuous Integration and Continuous Delivery environment and familiar with Jenkins, Team City, Code Quality Tools - Sonar Qube, etc.

Proficient in industry standard best practices such as Design Patters, Coding Standards, Coding modularity, Prototypes etc.

Unit testing frameworks - Py Test

Understanding of the SDLC lifecycle for Agile & Waterfall methodologies

Excellent written and oral communication skills

Education

Bachelor’s degree/University degree or equivalent experience

Master’s degree preferred

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

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