Market Data Engineer for Hedge Fund Analytics

Harrington Starr; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Harrington Starr is recruiting a Data Engineer for a London-based multi-strategy hedge fund. You will help strengthen the data infrastructure behind investment strategies, working with PMs, quants and risk teams to research opportunities and test strategies.

The role focuses on complex financial data, vendor feeds, data quality, integration, scalability and performance across the data platform. You will influence how data is accessed and used across the business.

Qualifications

• 4+ years' experience in financial services, ideally hedge fund or front office/quants environment.
• Strong Python and SQL skills; C++ experience is a plus.
• Experience with cloud-based data infrastructure and data platforms.

Responsibilities

• Own sourcing, validation and integration of financial datasets from external vendors.
• Build robust data products to improve data quality and usability across investment strategies.
• Improve the reliability and performance of the firm's core data platform.
• Collaborate with PMs, quants and risk teams to support investment processes.

Skills

Python

SQL

C++

Tools

Snowflake

Redshift

BigQuery

Job description

Harrington Starr is recruiting a Data Engineer for a London-based multi-strategy hedge fund. You will help strengthen the data infrastructure behind investment strategies, working with PMs, quants and risk teams to research opportunities and test strategies.

The role focuses on complex financial data, vendor feeds, data quality, integration, scalability and performance across the data platform. You will influence how data is accessed and used across the business.