Analyst, Risk & Quant Analytics (Quantitative Analytics)

Polymer Capital; Hong Kong; On-site; HKD 400,000 - 600,000; Full time

Benefits offered by this job

Paid annual leave

Medical group insurance

Gym facility reimbursement

Professional development opportunities

Job summary

Polymer Capital in Hong Kong seeks a quantitative analyst to research, build, and maintain tools for firmwide risk management. Candidates should have a degree in a quantitative field and at least 2 years of relevant experience in finance, along with strong programming skills in Python, R, and C#.

The position offers dynamic collaboration with industry experts, exposure to innovative projects, and professional development opportunities. Employees enjoy benefits such as paid leave and medical insurance.

Qualifications

• 2+ years of experience in data analytics or quantitative finance.
• Strong experience with programming languages such as Python, R, and C#.
• Familiarity with equity factor models and financial datasets.

Responsibilities

• Research and develop quantitative tools for risk management.
• Work with portfolio managers on reports and tools for performance analysis.
• Test and deploy new quantitative tools.

Skills

Data analytics

Quantitative research

Programming in Python

Programming in R

Programming in C#

Education

Bachelor's degree in a quantitative field

Advanced degree (a plus)

Tools

AWS

Cloud technologies (CI/CD, Terraform, Docker)

ML libraries (TensorFlow, PyTorch, XGBoost)

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

• Research, build and maintain quantitative tools and processes to support firmwide risk management
• Work with portfolio managers to research and develop various reports and tools to assist with portfolio performance/risk management and risk mitigation
• Test and deploy quantitative tools and processes to production environment
• Other ad‑hoc data analysis tasks as requested to assist in the investment and risk management process

Requirements

• Bachelor's or above degree in a quantitative field such as computer science, statistics, applied mathematics, financial engineering, quantitative finance or related disciplines. Advanced degree is a plus
• Minimum 2+ years of data analytics / quant research, quantitative risk management or software development experience in the finance industry. Familiarity with equity factor models/financial datasets/entity data is a plus
• Strong, demonstrated experience with programming languages such as Python, R, C# and database development
• Familiarity with the following is a strong plus:
• AWS (Lambda, batch, ECS)
• Cloud (CI/CD setup, Terraform, Docker)
• Web development (JavaScript, React, Angular, Vue)
• ML packages such as TensorFlow, PyTorch, XGBoost
• A good team player with good communication and interpersonal skills
• Ability to think and work independently
• Intellectually curious about quantitative and statistical analysis

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 / gym reimbursement
• DEI and philanthropy initiatives
• Professional learning & development opportunities