Quantitative Data Engineer

Qube Research & Technologies
UK
1 day ago
Apply on startup.jobs
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Information Engineering Data Mining Relational Databases NumPy Standard Sql Pandas

Job description

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

Requirements

  • 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

Benefits & conditions

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.

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on startup.jobs
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:34 min

Maximizing execution memory effectively via python numpy broadcasting

Jodie Burchell · LIVE

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel Ankit Patel · World Congress 2024

2:31 min

Data mining literary works for language patterns

Jen Looper Jen Looper · Europe 2026 Virtual

1:31 min

Baseline developer skills for software data science

Markus Harrer Markus Harrer · World Congress 2021

3:33 min

Refactoring data science workflows using Rapids QDF and Pandas

Paul Graham Paul Graham · LIVE

1:25 min

Replacing NumPy with cuPy for straightforward GPU acceleration

Paul Graham Paul Graham · World Congress 2025

Videos

See all

Related articles

See all