Data Scientist, Risk & Quant Analytics, Hong Kong
Core
Analyze vast datasets including market data, social media sentiment, and economic indicators to uncover trading patterns and drive risk management decisions.
Role type
Data Scientist (Risk & Quant Analytics)
Builds
Trading strategies and risk management decision frameworks
Domain
Financial markets / Quantitative analytics
Deliverable
production ML models
Required skills
Statistical & probability analysis, Python, R, pandas, NumPy, machine learning frameworks (scikit-learn, TensorFlow), hypothesis testing, data manipulation
Preferred skills
Financial markets knowledge, market microstructure, trading algorithms, behavioral finance research
Technologies
Python, R, pandas, NumPy, scikit-learn, TensorFlow
Responsibilities
Collect, clean, and analyze market and alternative data to uncover trading patterns; Develop and deploy ML/AI models to forecast market and security movements; Rigorously test, evaluate, and refine models for robustness; Manage data preparation and management for model building
Seniority
Mid-to-Senior level (Advanced degree required)