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# Data Scientist - Pricing

- **Company:** Qube Research & Technologies
- **Location:** UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Computer Programming, Data Mining, Pandas, Data Pipelines
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/data-scientist-pricing-qube-research-technologies-8123309

## About the Role

* 2 or more years of experience as a Data Scientist or in a similar data focused role working with financial market data
 * Experience within quantitative finance or buy side environments is beneficial
 * Strong understanding of financial markets and financial instruments
 * Postgraduate degree in Mathematics, Physics, Engineering or another quantitative discipline
 * Advanced Python programming skills, including experience with libraries such as Pandas and Polars
 * Proven experience building and managing end to end data pipelines
 * Experience working with both traditional and alternative datasets
 * Strong communication skills with the ability to collaborate across research, trading, engineering and external stakeholders
 * Ability to operate effectively in a fast paced environment

## Description

You will work within a data focused function supporting researchers, traders and engineering teams across the firm. The role focuses on designing and developing datasets that support systematic strategies and trading decisions, while improving the robustness and scalability of data onboarding processes. You will collaborate closely with technical and business stakeholders to help accelerate the use of both traditional and alternative datasets.

Your future role within QRT

 * Collaborate with quantitative researchers and traders to design datasets supporting systematic strategies and trading decisions
 * Develop code to extract, clean and aggregate data from a wide range of structured and unstructured sources
 * Build and maintain robust data pipelines covering sourcing, transformation and delivery workflows
 * Work with engineering teams to automate and optimise data extraction and processing systems
 * Investigate and resolve data related issues to reduce time to production
 * Evaluate and implement new approaches for data extraction and onboarding


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