Data Scientist — Quant Research & Data Onboarding

Data Scientist — Quant Research & Data Onboarding

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design datasets and robust data pipelines while collaborating with research and trading teams.
  • Company: Qube Research & Technologies, a leader in innovative data solutions.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Join a fast-paced environment with exciting challenges and career advancement.
  • Why this job: Make an impact by bridging teams and enhancing trading strategies with data.
  • Qualifications: Proficiency in Python, Pandas, and NumPy is essential.

The predicted salary is between 63000 - 77000 £ per year.

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 Num Py is essential in our fast‑paced buy‑side environment.

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Data Scientist — Quant Research & Data Onboarding employer: Qube Research & Technologies

At Qube Research & Technologies, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and development. As a Talent Acquisition Coordinator, you will be part of a collaborative team dedicated to enhancing the candidate experience while enjoying benefits such as flexible working arrangements and opportunities for professional advancement in a vibrant location. Join us to make a meaningful impact in recruitment solutions and thrive in an environment that values innovation and teamwork.

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Contact Details:

Qube Research & Technologies Recruitment Team

We think you need these skills to ace Data Scientist — Quant Research & Data Onboarding

Data Science
Python
Pandas
NumPy
Data Extraction
Data Cleaning
Data Aggregation