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
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