Polymer Capital Hong Kong

Market-neutral, multi-manager investment platform in Asia

Data Scientist - Risk & Quant Analytics

Data ScienceConfirmed live in the last 24 hours

Full-timeHong KongNo salary listedIn-person

About the Job

Requirements

An advanced degree (Master’s or above) in Data Science, Statistics, Mathematics, Computer Science, or a related field.
Deep understanding of statistical and probability analysis and quantitative methods.
Proficiency in programming languages such as Python or R.
Experience with data manipulation libraries such as pandas and NumPy.
Familiarity with machine learning frameworks such as scikit-learn and TensorFlow.
Ability to present complex findings clearly to diverse audiences.
Ability to work collaboratively in a team-oriented environment and foster a culture of learning and knowledge-sharing within the team.

Responsibilities

Collect, clean, and analyze datasets, including market data, PM position data, social media sentiment, alternative big data, and economic indicators, to uncover trading patterns, behavior patterns, and correlations.
Develop and deploy machine learning, artificial intelligence, and statistical models to forecast market, industry sector, alpha, and security movements and rankings.
Conduct hypothesis testing, evaluate models, and refine them to ensure robust decision-making.
Manage data preparation for model building and analysis.

Desired Qualifications

A good understanding of financial markets, market microstructure, trading algorithms, and/or the business context of data science applications.
Research or experience related to behavioral finance.

Data Scientist, Risk & Quant Analytics

Polymer Capital Hong Kong · Hong Kong, Hong Kong · — · Posted 2026-06-23

Workplace: on_site

Department: Risk & Quant Analytics

Description

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 Responsibilities

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.

Qualifications

Education: Advanced degree (Master’s or above) in Data Science, Statistics, Mathematics, Computer Science, or a related field.

Requirements

Deep understanding of statistical & probability analysis and quantitative methods. Strong problem-solving abilities, with a knack for deriving insights from complex datasets.
Proficiency in programming languages such as Python or R.
Experience 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 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

Apply

Apply at Polymer Capital Hong Kong

About the Company

Polymer Capital Hong Kong

Market-neutral, multi-manager investment platform in Asia

Polymer Capital Management operates as a market-neutral, multi-manager investment platform focused on Asia, backed by institutional support and PAG since 2019. It pools capital across multiple managers and strategies to achieve market-neutral exposures, aiming to diversify risk while pursuing Asia-focused opportunities. The setup blends a regional focus with a disciplined, multi-manager framework and strong PAG backing, plus an emphasis on discovering and developing local investment talent. Its goal is to deliver attractive, risk-adjusted returns for investors by maintaining market neutrality and diversified manager risk within a structured Asia-focused platform.

Company size: Not listed
Company stage: Not listed
Total funding: Not listed
Headquarters: Hong Kong
Founded: 2019

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