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Analyst, Risk & Quant Analytics (Quantitative Analytics)_Hong Kong

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Polymer Labs

📍 Hong Kong, Hong Kong SAR💰Competitive🕐 Posted
Data ScientistOnsite
pythonrc#awsterraformdockertensorflowpytorch
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Job Description

About Us

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.

The Role

We are seeking a skilled quantitative analyst to support our risk management and investment processes. You will research, build, and maintain quantitative tools while collaborating with portfolio managers to develop reports and solutions that enhance portfolio performance and risk management across the firm.

Responsibilities

  • 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
  • Conduct ad-hoc data analysis tasks as requested to assist in the investment and risk management process

Requirements

  • Bachelor's degree or above 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 experience in data analytics, quant research, quantitative risk management or software development in the finance industry
  • Familiarity with equity factor models, financial datasets, or entity data is a plus
  • Strong, demonstrated experience with programming languages such as Python, R, C# and database development
  • Good team player with strong communication and interpersonal skills
  • Ability to think and work independently
  • Intellectually curious about quantitative and statistical analysis

Nice to Have

  • AWS (Lambda, batch, ECS)
  • Cloud technologies (CI/CD setup, Terraform, Docker)
  • Web development (JavaScript, React, Angular, Vue)
  • ML packages such as TensorFlow, PyTorch, XGBoost

Why Join Us

  • Prime location with full-time work from our centrally located office in the heart of Hong Kong
  • High-growth environment with a team of highly ambitious professionals with a strong desire to learn and develop their skills
  • Global exposure with six offices and three affiliate offices around the region, enabling teams to work together to solve meaningful problems at scale
  • Dynamic and collaborative environment with opportunities to work with industry leaders and experts on exciting projects and fulfilling challenges

Benefits

  • Paid Annual Leave
  • Medical Group Insurance
  • In-built gym facility or gym reimbursement
  • DEI and philanthropy initiatives
  • Professional learning and development opportunities

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