Data Scientist, Risk & Quant Analytics

Polymer Capital Hong Kong; Hong Kong; On-site; HKD 420,000 - 650,000; Full time

Job summary

Polymer Capital Hong Kong is seeking a data scientist to analyze large datasets, build and validate predictive models, and derive actionable insights for trading strategies and risk management. The role emphasizes collaboration and clear communication of complex results to non-technical stakeholders.

The ideal candidate holds an advanced degree in data science or related fields, with strong python/R skills and experience in pandas/NumPy, scikit-learn, and TensorFlow.

Qualifications

• Deep understanding of statistical methods and quantitative analysis.
• Programming in Python or R.
• Experience with pandas and NumPy.
• Familiarity with scikit-learn and TensorFlow.
• Strong written and verbal communication skills.
• Collaborative, team-oriented mindset.
• Knowledge of financial markets is a plus.
• Research or experience in behavioral finance is advantageous.

Responsibilities

• Analyze data to uncover actionable trading signals and risk insights.
• Develop predictive models and validate them rigorously.
• Collaborate with team and present findings clearly to stakeholders.
• Manage data collection, cleaning, and preprocessing for modeling.

Job description

Polymer Capital Hong Kong is seeking a data scientist to analyze large datasets, build and validate predictive models, and derive actionable insights for trading strategies and risk management. The role emphasizes collaboration and clear communication of complex results to non-technical stakeholders.

The ideal candidate holds an advanced degree in data science or related fields, with strong python/R skills and experience in pandas/NumPy, scikit-learn, and TensorFlow.