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Data Scientist, Risk & Quant Analytics

Polymer Capital · Hong Kong, Hong Kong SAR

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We are seeking a skilled and motivated Data Scientist to join our team, focusing on analyzing data to uncover actionable insights and patterns. The ideal candidate will leverage statistical methods, machine learning techniques, and domain knowledge to discover signals that will drive trading strategies and enhance risk management decision-making.Key ResponsibilitiesData 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 correlationsPredictive Modeling: Develop and deploy machine learning, artificial intelligence, and statistical models to forecast market, industry sector, alpha, and security movements/rankingsTesting & Evaluation: Rigorously hypothesis testing, evaluation, and refining models to ensure robustness of decision makingData Management: Handle the complex process of data preparation and management for model building and analysisQualificationsEducation: Advanced degree (Master's or above) in Data Science, Statistics, Mathematics, Computer Science, or a related field.RequirementsDeep understanding of statistical & probability analysis and quantitative methods. Strong problem-solving abilities, with a knack for deriving insights from complex datasetsProficiency in programming languages such as Python or RExperience with data manipulation libraries (e.g., pandas, NumPy)Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow)Excellent verbal and written communication skills, with the ability to effectively present complex findings clearly to diverse audiencesAbility to work collaboratively in a team-oriented environment and to foster a culture of learning and knowledge-sharing within the teamA good understanding of financial markets, market microstructure, trading algorithms and/or the business context of data science applications is a strong plusResearch or experience related to behavioral finance is a strong plus