Data Engineer- Reporting and Analytics | Global Hedge Fund | London
Summary
Builds and maintains data pipelines and models that feed firmwide P&L reporting and analytics for a quantitative investment firm using Python, SQL, and ETL tools.
Every investment decision generates data. To remain competitive, every position, trade, risk exposure and P&L movement needs to be captured, modelled and made available to the people running the business.
That’s where you come in.
We’re hiring a Data Engineer to join a small, highly visible team responsible for the reporting and analytics infrastructure used across a leading quantitative investment firm.
You’ll be working on the databases, pipelines and data models that power firmwide analytics and P&L reporting, helping ensure that critical business information is accurate, scalable and available when it’s needed.
The team is lean, with engineers spread across London and Asia, giving you genuine ownership from day one rather than being one of dozens of engineers working on a narrow component.
What you’ll be doing
- Designing and maintaining data models that support firmwide reporting and analytics
- Building and optimising ETL pipelines used to process large volumes of business and trading data
- Developing and improving reporting infrastructure and analytics platforms
You’ll likely enjoy this role if you
- Prefer building systems rather than presentations
- Like taking ownership of problems and seeing them through
- Learn quickly and work well with autonomy
- Enjoy understanding how data moves through an organisation
What we’re looking for
- Strong programming skills in Python and/or C#
- Excellent SQL and relational database knowledge
- Experience building production ETL pipelines