Data Scientist (Fixed Income, Quant Trading)
Salary: £100k-150k
Total compensation: TBC - based on seniority and performance.
A top-tier global quant and systematic investment manager is hiring a Data Scientist with a strong Fixed Income background.
This is a cross-functional role at the intersection of Research, Trading, and Engineering — with direct ownership of how Fixed Income data is sourced, structured, and deployed across the firm's strategies.
The Role
- Working closely with Quantitative Researchers, Traders, and Engineers, you'll design datasets that power systematic strategies and inform discretionary trading.
- Extracting, cleaning, and aggregating data from diverse raw sources (market data, reference data, pricing feeds)
- Automating and optimising pipelines
- Managing end-to-end onboarding of Fixed Income datasets spanning bonds, rates, credit, and derivatives.
- There's also genuine scope to experiment with novel extraction methods and shape the firm's data toolkit.
Your Background
- 2+ years working with Fixed Income data in a Data Scientist or equivalent role
- Solid grasp of Fixed Income markets — bonds, rates, credit, yield curves, derivatives
- Postgraduate degree in a quantitative discipline (Maths, Physics, Engineering, or similar)
- Advanced Python with strong Pandas/NumPy proficiency
- Proven end-to-end pipeline experience, from sourcing and extraction through to delivery
- Strong communicator, comfortable across researchers, traders, engineers, and vendors
- At ease in a high-performance, fast-moving environment