Quant Data Scientist: Market Data & Trading Pipelines

Tribus; Hong Kong; On-site; HKD 600,000 - 1,000,000; Full time

Job summary

Tribus, a Hong Kong-based quantitative investment firm, is hiring a Data Scientist for a permanent, full-time role. The candidate will work at the intersection of research, trading, and engineering to shape data powering systematic and discretionary strategies.

The role demands hands-on research experience, postgraduate quantitative training, and strong Python (Pandas/NumPy). Experience with market data and diverse datasets is valued, with collaboration across researchers, traders, and engineers

Qualifications

• 3+ years' experience as a Data Scientist or similar with hands-on research.
• Postgraduate degree in a quantitative field (Math, Physics, Engineering, etc.).
• Strong Python skills with Pandas and NumPy.
• Genuine interest in financial markets and data-driven investing.
• Experience with market data and alternative datasets is a plus.

Responsibilities

• Design datasets to inform systematic strategies and discretionary trading.
• Prototype pipelines to extract, clean, and structure data from diverse sources.
• Own onboarding of new datasets from sourcing to production.
• Collaborate with researchers, traders, and engineers to scale data processes.
• Identify data issues and develop novel extraction techniques.

Skills

Python

Pandas

NumPy

Finance data understanding

Data pipelines

Education

Postgraduate degree in quantitative discipline

Job description

Tribus, a Hong Kong-based quantitative investment firm, is hiring a Data Scientist for a permanent, full-time role. The candidate will work at the intersection of research, trading, and engineering to shape data powering systematic and discretionary strategies.

The role demands hands-on research experience, postgraduate quantitative training, and strong Python (Pandas/NumPy). Experience with market data and diverse datasets is valued, with collaboration across researchers, traders, and engineers