Data Engineer - Trading Platform - Global Quant Firm

Paragon Alpha - Hedge Fund Talent Business

England

On-site

GBP 50,000 - 70,000

Full time

14 days+

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Job summary

A global quantitative hedge fund is seeking a Data Engineer to support their systematic trading efforts in the United Kingdom. This role involves developing and managing ETL pipelines, integrating various datasets, and ensuring data quality while collaborating closely with quant and trading teams. Ideal candidates will have strong Python skills and experience in data management. This position offers a dynamic environment where data systems significantly influence trading performance.

Qualifications

Experience in developing automated ETL pipelines.
Ability to integrate new and alternative datasets.
Strong skills in implementing data quality checks.

Responsibilities

Support the systematic trading and research platform.
Work closely with research and trading teams.
Contribute to the firm’s core data framework.

Skills

Python

Databases/Datalakes

Git

Job 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