Data Scientist

Data Scientist - Hong Kong Quantitative Investment Firm | Permanent | Full-time

We're hiring on behalf of a well-established, technology-driven quantitative trading firm operating across global markets. This is a genuine opportunity to work at the intersection of research, trading, and engineering directly shaping the data that powers systematic and discretionary strategies at a firm known for its rigorous, science-first approach to investing.

This is a hands-on role, not a generic data science or ML posting. Candidates must bring genuine research experience and demonstrable exposure to at least one of the following areas: Market data (Refinitiv/Bloomberg) and pricing

Tick data feature construction/selection, with knowledge of L3 data

What you'll do

Partner with researchers and traders to design datasets that directly inform systematic strategies and discretionary trading decisions

Prototype and build pipelines to extract, clean, and structure data from a wide range of raw sources and formats

Own the end-to-end onboarding of new datasets, from sourcing through to production

Work closely with engineering to automate and scale data extraction processes

Proactively identify and resolve data issues, and explore novel extraction methods to keep the firm's toolkit ahead of the curve

What you'll need

3+ years' experience as a Data Scientist or similar, with genuine hands-on research exposure (buy-side quant experience a strong plus)

Postgraduate degree in a quantitative discipline - Maths, Physics, Engineering, or similar Strong Python skills, including proficiency with Pandas and NumPy

Genuine interest in financial markets and how data drives investment decisions

Experience with both traditional and alternative datasets

Strong communication skills - you'll work across research, trading, engineering, and external vendors

Comfort operating at pace in a high-performance environment