Senior Python Developer

Senior Python Developer – Equity Derivatives Analytics

The Equities technology team in Citi is seeking a collaborative, hands-on Senior Python Lead developer to build quantitative analytics and trading signals for front office business desks. This is a rapidly growing and high-priority area, and the growth in users and use-cases has warranted new investment from the Equities Cash, Derivatives and Prime businesses. In 2025, the platform capabilities will be expanded to include a fast timeseries data store, scalable real time streaming pipelines, and an event driven back tester.

As a Lead Developer, you are required to:

1. Work closely with quants and traders on multiple trading desks to design, develop, deploy and support new innovative business solutions.
2. Work within a global team in an agile environment, so strong communications skills are very important.

Skills required:

1. Experience developing/designing high quality data-driven enterprise-wide systems.
2. Python data engg stack: Pandas/Parquet/FastAPI/Jupyter/Airflow/Streamlit/Ray.
3. Experience with high-performance data stores and query engines like Trino/Snowflake.
4. Experience with real-time streaming analytics tech like Kafka / Flink.
5. Experience with cloud container tech, e.g. AWS, Azure, GCP, Docker, or Kubernetes.

Skills desired:

1. Experience with financial concepts such as Equities / Options / Futures.
2. Full stack HTML5 Web development experience.
3. Generative AI Prompt engineering knowledge.

Job Family Group: Technology

Job Family: Applications Development

Time Type: Full time

Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.