Qube Research & Technologies
Quantitative Data Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Qube Research & Technologies (QRT)
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.
About the Role
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
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- 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
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location