Job Title

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. FIs 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, assetbacked securities, mortgagebacked securities, collateralized loan obligations (CLOs), municipal securities, agency securities, shortterm interestrate 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 opensource 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 nextgeneration 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 subsystems - Participate in sprint planning, tasking, and estimation of the assigned work for the 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 nonstandard shift including nights and/or weekends and/or have oncall responsibilities - Stay abreast of new trends in opensource 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 handson experience building an enterprisescale highly componentized application using Python, including web frameworks such as Django or Flask, and data science tools Pandas, Polars, Streamlit, Airflow - Experience with Docker and Kubernetes/KubernetesOpenshift - 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 familiarity with Jenkins, TeamCity, and code quality tools SonarQube, etc. - Proficient in industrystandard best practices such as design patterns, 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: - Bachelors degree/university degree or equivalent experience - Masters 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, please review the accessibility information. View Citis EEO Policy Statement and the Know Your Rights poster. #J-18808-Ljbffr