Job Description
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 intermediate 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.
