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:

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

 

Skills required:

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

 

Skills desired:

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

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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