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Posted 2 mo agoFirst seen 23 d ago

Quantitative Data Engineer

Qube Research & Technologies·London·via Greenhouse

Posted by Qube Research & Technologies on 2 September 2026, 61 days ago. Still on their Greenhouse board when we checked 30 min ago. Half of Qube Research & Technologies's roles come down within 137 days.

mid3+ yrsFull timenumpypandaspolarspythonsql
What the posting is about

Design and manage complex financial datasets for research and trading. Collaborate with quantitative researchers and traders. Ensure data quality and correctness. Onboard new datasets and resolve data issues.

Read out of the posting
Levelmid
Experience asked3+ years
EmploymentFull time
LocationLondon
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-02
Found viagreenhouse, direct from their system

We saw it 1 month after it went up.

The posting, as the company wrote it
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.

Copied from Qube Research & Technologies’s own board, not rewritten. Original ↗

Also open at Qube Research & Technologies

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