Quant Analytics & Risk Tools Specialist

Polymer Capital Hong Kong

Hong Kong

On-site

HKD 800,000 - 1,200,000

Full time

3 days ago
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Benefits offered by this job

Medical Insurance
Gym facility
DEI initiatives

Job summary

Polymer Capital Hong Kong is seeking a data-driven Quantitative Researcher to build and maintain quantitative tools supporting firmwide risk management. You will work with portfolio managers to develop reports and tools for performance and risk mitigation. The role requires Python, R, or C#, plus experience with financial datasets.

You will test and deploy tools to Production and conduct ad-hoc analyses. A proactive, collaborative mindset and strong communication are essential.

Qualifications

  • Bachelor's or above degree in a quantitative field such as computer science, statistics, applied mathematics, financial engineering, quantitative finance or related disciplines.
  • Minimum 2+ years of data analytics / quant research, quantitative risk management or software development experience in the finance industry.
  • Strong programming experience in Python, R, C# and database development.
  • Familiarity with cloud (CI/CD, Terraform, Docker) and ML packages is a strong plus.

Responsibilities

  • Research, build and maintain quantitative tools and processes to support firmwide risk management.
  • Work with portfolio managers to research and develop 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 to assist in investment and risk management.

Skills

Python
R
C#
Data analytics
Communication skills

Education

Bachelor's degree in quantitative field

Tools

SQL
Database development
Terraform
Docker
CI/CD

Job description

Polymer Capital Hong Kong is seeking a data-driven Quantitative Researcher to build and maintain quantitative tools supporting firmwide risk management. You will work with portfolio managers to develop reports and tools for performance and risk mitigation. The role requires Python, R, or C#, plus experience with financial datasets.

You will test and deploy tools to Production and conduct ad-hoc analyses. A proactive, collaborative mindset and strong communication are essential.

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