Python Data Engineer - Systematic Trading - Hedge Fund (Greater London)

Tempest Vane Partners
London
1 week ago
Applications closed

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The Client

My client is a market leading alternative asset manager focused on multi-asset systematic investing.


The are looking for a Python focused Data Engineer to join their quantitative platform team.


What You'll Get

  • An opportunity to work in one of the most exciting and fast growing buy-side businesses in the City.
  • An opportunity to join a strong team with a very high talent density presenting lots of opportunity for learning and development.
  • Incredible career progression opportunities with potential access to all areas of the business.
  • A market leading compensation package including basic salary and annual bonus.
  • Benefits including a pension, private healthcare, life assurance and 25 days annual leave.


What You'll Do

  • Build and maintain the data infrastructure that fuels the funds research and trading strategies.
  • Take responsibility for the end-to-end lifecycle of diverse datasets – including market, fundamental, and alternative sources – ensuring their timely acquisition, rigorous cleaning and validation, efficient storage, and reliable delivery through robust data pipelines.
  • Work closely with quantitative researchers and technologists to tackle complex challenges in data quality, normalisation, and accessibility, ultimately providing the high-fidelity, readily available data essential for developing and executing sophisticated investment models in a fast-paced environment.


What You'll Need

  • Strong academic background in a STEM or Computer Science focused discipline.
  • Strong Python engineering experience.
  • Experience building ETL pipelines using Python.
  • Experience of SQL and relational databases.
  • Experience with AWS or similar Cloud technology.
  • Experience with S3, Kafka, Airflow, and Iceberg will be beneficial.
  • Experience in the financial markets with a focus on securities & derivatives trading.
  • Exceptional communication skills, attention to detail, and adaptability.

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