Data Scientist, Trading & Execution

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Data Scientist, Trading & Execution

Polymer Capital Hong Kong

Location

Hong Kong, Hong Kong, Hong Kong

Experience

Mid

Posted

Jul 10, 2026

Apply by

August 9, 2026

Applicants

0

Early applicantFull-timeWork from Office

Job Description

**Company Introduction** Polymer Capital Management is a market-neutral, multi-manager investment platform based in and focused on Asia. Polymer combines established institutional support and deep knowledge of local financial markets with a dedication to discovering and developing the region's best investment talent. Polymer was established in conjunction with PAG, one of the world's largest Asia-focused alternative asset managers, in 2019. **Job Responsibilities / Job Brief** - Data Analysis & Modeling: Collect, clean, and analyze vast datasets, including market data, PM position data, social media sentiment, alternative big data, and economic indicators, to uncover trading patterns, behavior patterns, and correlations. - Predictive Modeling: Develop and deploy machine learning, artificial intelligence, and statistical models to forecast market, industry sector, alpha, and security movements/rankings. - Testing & Evaluation: Rigorously hypothesis testing, evaluation, and refining models to ensure robustness of decision making. - Data Management: Handle the complex process of data preparation and management for model building and analysis. - Deep understanding of statistical & probability analysis and quantitative methods. - Hands-on experience with state-of-the-art AI techniques (e.g. model training/fine-tuning, agent workflow development), with demonstrated project delivery. - Proficiency in Python, with strong problem-solving abilities. - Experience with data manipulation and machine learning libraries (e.g., Pandas, NumPy, PyTorch, scikit-learn). - Excellent verbal and written communication skills, with the ability to effectively present complex findings clearly to diverse audiences. - Ability to work collaboratively in a team-oriented environment and to foster a culture of learning and knowledge-sharing within the team. - A good understanding of financial markets, market microstructure, trading algorithms and/or the business context of data science applications is a strong plus - Research or experience related to behavioral finance is a strong plus **Why join us?** - Prime Location: You'll work full time from our centrally located office space in the heart of Hong Kong - High-Growth: We have a team of highly ambitious professionals with a strong desire to learn and develop their skills. - Equal opportunity employer: We celebrate diversity and are committed to creating an inclusive environment for all employees. - Global exposure: With six offices and three affiliate offices around the region, Polymer teams work together to solve meaningful problems at scale. - Dynamic and Collaborative Environment: Opportunity to work with industry leaders and experts to engage in exciting projects and fulfilling challenges. **Some Of Our Benefits** - Paid Annual Leave - Medical Group Insurance - In-built Gym facility - DEI and Philanthropy Initiatives - Professional Learning & Development Opportunities

Key Responsibilities

  • Collect, clean, and analyze vast datasets including market data, social media sentiment, and economic indicators.
  • Develop and deploy machine learning, artificial intelligence, and statistical models to forecast market movements.
  • Conduct rigorous hypothesis testing and evaluation to ensure model robustness.
  • Manage complex data preparation and management processes for model building and analysis.

Skills Required

PythonPandasNumPyPyTorchscikit-learnMachine LearningStatistical AnalysisData ManipulationProblem solvingVerbal communicationWritten communicationCollaborationTeamworkFinancial markets knowledgeMarket microstructureTrading algorithmsBehavioral finance

Benefits

  • Paid Annual Leave
  • Medical Group Insurance
  • In-built Gym facility
  • DEI and Philanthropy Initiatives
  • Professional Learning & Development Opportunities

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