Quantitative Data Engineer

Qube Research & Technologies

Location

Hong Kong

Posted

18 days ago

Department

MF-DSA

What they actually want (must-haves)

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

What the job really is

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.

Things to weigh

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

Job score2.6/5

Benefits1/5

Freshness4/5

Career value4/5

Role clarity4/5

Pay transparency0/5

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