Data Scientist — Quant Research & Data Onboarding

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

Job summary

Qube Research & Technologies is seeking a Data Scientist to bridge Research, Trading and Engineering teams, designing datasets and robust data pipelines.

You will prototype code to extract, clean and aggregate data from diverse sources, onboard new datasets, and collaborate with quantitative researchers and traders to inform strategy. Proficiency in Python, Pandas and NumPy is essential in our fast‑paced buy‑side environment.

Qualifications

• 3+ years of experience as a Data Scientist or similar role.
• Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering.
• Advanced programming experience in Python, including Pandas and NumPy.
• Demonstrated interest in financial markets and the application of data in analysis.
• Experience with traditional and alternative financial datasets.
• Excellent communication skills and ability to collaborate with researchers, traders, engineers and management.

Responsibilities

• Collaborate with Quantitative Researchers and Traders to design datasets for systematic strategies and inform discretionary trading decisions.
• Prototype and design code to extract, clean, and aggregate data from a wide range of raw sources and formats.
• Work with Engineers to automate and optimise code and data extraction processes.
• Manage end-to-end onboarding of new datasets.

Skills

Collaborating with researchers and Tr

Education

Postgraduate degree in Mathematics/Physics/Engineering

Tools

Python

Pandas

NumPy

Job description

Qube Research & Technologies is seeking a Data Scientist to bridge Research, Trading and Engineering teams, designing datasets and robust data pipelines.

You will prototype code to extract, clean and aggregate data from diverse sources, onboard new datasets, and collaborate with quantitative researchers and traders to inform strategy. Proficiency in Python, Pandas and NumPy is essential in our fast‑paced buy‑side environment.