Analyst, Risk & Quant Analytics (Quantitative Analytics)

Polymer Capital Taiwan; Hong Kong; On-site; HKD 420,000 - 640,000; Full time

Benefits offered by this job

Paid Annual Leave

Medical Group Insurance

In-built Gym facility / Gym reimburse

DEI and Philanthropy Initiatives

Professional Learning & DevelopmentOp

Job summary

Polymer Capital Management in Hong Kong is seeking a data analytics/quant research professional to build and maintain quantitative tools for risk management and portfolio performance analysis. You will collaborate with portfolio managers to develop reports, test tools, and deploy them to production environments.

Ideal candidates have 2+ years in finance data analytics, strong programming in Python/R/C#, and familiarity with AWS, Docker, and modern data workflows.

Qualifications

• Bachelors or above in a quantitative field; advanced degree a plus.
• 2+ years in data analytics, quant research, or related finance roles.
• Strong programming skills in Python, R, and C#; familiarity with analytics.
• Experience with cloud and modern data pipelines is beneficial.

Responsibilities

• Research, build and maintain quantitative tools for risk management.
• Collaborate with portfolio managers to develop performance/risk reports.
• Test and deploy quantitative tools to Production environments.
• Handle ad-hoc data analysis tasks to support risk management.

Skills

Programming languages: Python, R, C#

Teamwork & communication

Independent thinking

Education

Bachelor’s or above in quantitative field

Advanced degree is a plus

Tools

AWS (Lambda, batch, ECS)

Terraform & Docker

Web development (JS, React, Angular, Vue)

ML frameworks: TensorFlow, PyTorch, XGBoost

Database development

Job description

Company IntroductionPolymer 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