2027 Fresh Grad Hire - Data Scientist
Futu’s graduate data scientist builds measurement and experimentation systems for its financial platform. Work concerns tracking quality, causal evaluation and product decisions rather than trading-signal research.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Define common event-tracking schemas across applications
- Build data-quality monitoring for behavioural and trading logs
- Develop A/B-test metrics and evaluation methods
- Apply causal analysis to product and operational questions
What they ask for
Required
- Statistical inference and experimentation
- SQL
- Python or R
- Causal-inference familiarity
- Systems thinking
- English and Chinese communication
- Education
- Bachelor or higher qualification in statistics, computing, data science, maths, econometrics or a related field.
- Experience
- Graduate intake for completion between January 2026 and August 2027.
- Languages and tools
How to prepare
- Design an A/B test with defensible metrics and confidence intervals
- Analyse how missing tracking events bias an experiment
- Compare a randomised test with a causal-inference alternative
What to study
- Event Studies and Causal Measurement in Finance
- Probability, Statistics and Financial Data
- Python and Data Primer
The NLP and ML Quant Researcher roadmap sets out the stages for this kind of role, with free resources for each.
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Read the full posting on FUTU Holdings’s site before applying: requirements, location and pay can change after we check them.
View the posting on FUTU Holdings’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with FUTU Holdings and doesn’t handle applications.