Data Engineer Quant Finance
Summary
Builds and maintains data pipelines, models, and infrastructure that power Quant and Data Science teams at a financial-markets research company, working with large complex datasets primarily in Python and SQL. The role offers a path toward growing data science/quantitative responsibilities over time.
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)
- 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
- 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 with excellent communication skills
- collaboration
- communication
- problem solving
- Python
- SQL
- data pipelines