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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