Data Engineer - Trading Platform - Global Quant Firm
Data Engineer at a global quantitative hedge fund, building and scaling datasets used directly by quants and traders on the systematic trading and research platform. Day to day: developing automated ETL pipelines, integrating new and alternative datasets, and implementing data quality checks in Python, with databases/datalakes and Git.
- Compensation
- Not disclosed
- Location
- United Kingdom
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Python
- Databases/Datalakes
- Git
- Developing automated ETL pipelines
- Integrating new and alternative datasets
- Implementing data quality checks
- Mid-Senior level experience
Full description
Data Engineer I - QuantumBlack, AI by McKinsey
A world‑leading global quantitative hedge fund is looking for a Data Engineer to support their systematic trading and research platform, with a focus on building, managing, and scaling datasets used directly by quants and traders.
You will be responsible for developing automated ETL pipelines, integrating new and alternative datasets, implementing data quality checks, and contributing to the firm’s core data framework while working closely with research and trading teams.
Stack:
- Python
- Databases/Datalakes
- Git
The firm offers a highly collaborative, global environment with strong ownership, close interaction with quants and traders, and the opportunity to work on data systems that directly impact trading performance.
Please get in touch if this is of interest.
Seniority level
- Mid‑Senior level
Employment type
- Full‑time
Job function
- Engineering and Finance
Industries
- Financial Services
- Investment Banking
- Banking