Data Scientist, Risk & Quant Analytics

Polymer Capital Singapore; Hong Kong; On-site; HKD 480,000 - 720,000; Full time

Job summary

Polymer Capital Singapore is seeking a skilled Data Scientist to join our team in Hong Kong. You will analyze large datasets, build models, and apply machine learning to uncover actionable trading insights and support risk management decisions.

The ideal candidate has an advanced degree and proficiency in Python or R, with experience in pandas, NumPy, and ML frameworks. You will collaborate across teams to translate complex data into clear recommendations for trading strategies.

Qualifications

• Advanced degree in data science, statistics, or related field.
• Strong analytical and problem-solving skills with ability to derive insights.
• Proficient in Python or R and data manipulation libraries.

Responsibilities

• Analyze large datasets to uncover actionable insights for trading strategies.
• Develop and evaluate predictive models for market movements.
• Collaborate with cross-functional teams to implement analytics.
• Communicate findings clearly to non-technical stakeholders.

Skills

Python

R

Statistics

Machine Learning

Pandas

NumPy

Scikit-learn

TensorFlow

Data Visualization

Communication

Education

Master's degree or PhD in Data Science/Statistics/Math/CS

Tools

SQL

Git

TensorFlow

Scikit-learn

Job 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