Data Scientist, Fixed Income Data & Pipelines

Qube Research & Technologies; England; On-site; GBP 70,000 - 110,000; Full time

Job summary

Qube Research & Technologies invites a skilled Data Scientist with a strong fixed income background to join our cross-functional team. You will work between Research, Trading and Engineering to leverage data across fixed income strategies and beyond.

You will prototype, extract, clean, and onboard datasets from bonds, rates, credit and derivatives, and collaborate with quantitative researchers, traders and developers to automate robust data pipelines.

Qualifications

• Postgraduate degree in Mathematics, Physics or Engineering.
• Advanced Python skills with data handling libraries (Pandas/NumPy).
• Experience building end-to-end data pipelines for fixed income data.

Responsibilities

• Collaborate with QRT researchers and traders to design fixed income datasets.
• Prototype code to extract, clean and aggregate data from diverse sources.
• Work with engineers to automate data pipelines and ensure reliability.
• Own onboarding of new fixed income datasets including bonds, rates and derivatives.
• Solve data-related production issues and improve onboarding toolkit.

Skills

Python

Pandas

NumPy

Data pipelines

Collaboration

Communication

Fixed income data

High-performance environment

Education

Postgraduate degree in a quantitative discipline

Job description

Qube Research & Technologies invites a skilled Data Scientist with a strong fixed income background to join our cross-functional team. You will work between Research, Trading and Engineering to leverage data across fixed income strategies and beyond.

You will prototype, extract, clean, and onboard datasets from bonds, rates, credit and derivatives, and collaborate with quantitative researchers, traders and developers to automate robust data pipelines.