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Quantitative Data Engineer

London

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Apply at Qube Research & Technologies

What you’ll work on

Full posting
  • You will work within a data function responsible for making complex financial datasets accessible and reliable for research and trading.

From the employer’s posting
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You will work within a data function responsible for making complex financial datasets accessible and reliable for research and trading. You will collaborate directly with Quantitative Researchers and Traders to understand data requirements, onboard new sources and build datasets that support systematic strategies and discretionary trading decisions. Your future role within QRT

Tools in this posting

  • Python
  • SQL
  • pandas
  • Polars
  • NumPy
Source — Tool mentions in context
- 3+ years of experience in Data Engineering or a similar role working with financial data - Advanced Python development skills, including experience with libraries such as Pandas, Polars and NumPy - Strong focus on correctness, with the ability to critically assess code and data quality regardless of source
- Strong focus on correctness, with the ability to critically assess code and data quality regardless of source - Experience working with SQL and relational databases - Experience working with both traditional and alternative financial datasets

Job description

View original posting ↗

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

You will work within a data function responsible for making complex financial datasets accessible and reliable for research and trading. You will collaborate directly with Quantitative Researchers and Traders to understand data requirements, onboard new sources and build datasets that support systematic strategies and discretionary trading decisions.

Your future role within QRT

  • Collaborate with Quantitative Researchers and Traders to design datasets that support systematic strategies and discretionary trading decisions
  • Extract, clean and aggregate data from a wide range of raw sources and formats using QRT’s data framework
  • Manage the full process of onboarding new datasets, from initial assessment through to production
  • Investigate and resolve data issues to reduce the time required to make new datasets available to users
  • Develop robust data extraction processes with a strong focus on correctness and data quality
  • Explore and implement new approaches to data extraction that improve the tools available for onboarding complex datasets

Your present skillset

  • 3+ years of experience in Data Engineering or a similar role working with financial data
  • Advanced Python development skills, including experience with libraries such as Pandas, Polars and NumPy
  • Strong focus on correctness, with the ability to critically assess code and data quality regardless of source
  • Experience working with SQL and relational databases
  • Experience working with both traditional and alternative financial datasets
  • Demonstrated interest in financial markets and the application of data to investment research and trading
  • Experience within quantitative finance is beneficial
  • Excellent communication skills with the ability to collaborate with Quantitative Researchers, Traders, Engineers, management and external data providers
  • Ability to operate effectively in a high performance environment with rapid delivery cycles

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

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Source & posting history

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Pay

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Location & working pattern

London

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Status in our records
Active
First seen by us
Sep 3, 2026
Recorded sightings
30
Last seen by us
Oct 9, 2026

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