Data Engineer (Quant Finance)

Overview

In this role you will build and maintain robust data pipelines and infrastructure to empower Quants and Data Scientists in a financial markets setting. You will work with large, complex datasets, develop data models, and improve data quality, enabling advanced quantitative work. The position offers a path toward more data science responsibilities within a scaling research-focused tech company. You will collaborate with cross-functional teams to deliver reliable data products and contribute to ongoing data-driven transformation.

Pay / Benefits

• salary up to 120k + bonus • 3 weeks per year work anywhere • 25 days holiday (30) • Pension 9% (employer 5%) • Healthcare for you and family • Cycle to Work scheme? (Cycle to Work)

Responsibilities

• Build, test and maintain robust data pipelines • Work with large, complex financial datasets • Develop data models and improve data quality • Create tooling and infrastructure for Quant and Data Science teams • Improve data products and processes through continuous improvement • Over time, take on more Data Science / Quantitative responsibilities

Key requirements

• Commercial experience in data engineering/analyst role • Strong Python and SQL skills • Experience building data pipelines and handling large datasets • Understanding of data modelling and data engineering principles • Strong academic background with analytical/problem-solving skills • Product mindset and ability to build reliable data solutions • Collaborative…