or apply directly on Qube Research & Technologies's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 14 days Qube Research & Technologies's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 8% of Qube Research & Technologies's roles list one
- Ghost-job risk at Qube Research & Technologies
- low 0 stale, 1 reposted of 202 open
- Hiring momentum
- 252 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Qube Research & Technologies's own greenhouse board since 2026-08-03. Full hiring picture for Qube Research & Technologies.
About this role
As a Quantitative Data Engineer at Qube Research & Technologies, you will collaborate with Quantitative Researchers and Traders to design and manage datasets that support systematic strategies and trading decisions. Your role will involve extracting, cleaning, and aggregating data from various sources, innovating data extraction methods, and solving data-related problems to enhance the firm's data onboarding processes.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Qube Research & Technologies as an employer.
What you need
- 3+ years of experience as a Data Engineer or similar position working with financial data
- Experience in a buy-side quantitative finance role is advantageous
- Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas, Polars and NumPy
- Familiarity with SQL and relational databases
- Excellent communication skills to collaborate with stakeholders
- Ability to work in a high-performance, high-velocity environment
Nice to have
- Experience using AI-powered development tools to accelerate engineering tasks and improve productivity
- Demonstrable interest in financial markets and the application of data in its analysis and understanding
- Experience working with both traditional and alternative financial datasets
- Experience creating documentation and providing direct support to help stakeholders understand and use complex datasets quickly
Worth weighing
- No specific salary or benefits listed
- Role requires collaboration with various stakeholders, which may involve navigating different priorities
- High-performance environment may imply significant pressure and fast-paced work
Summarised from Qube Research & Technologies's posting. Read the full original.
Listed by Qube Research & Technologies on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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