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 DevOps technologies - Ansible, Chef is a plus
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 or equivalent experience
Master’s degree preferred
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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