Quantitative Risk & Analytics Analyst

Polymer Capital Singapore; Hong Kong; On-site; HKD 550,000 - 750,000; Full time

Benefits offered by this job

Paid Annual Leave

Medical Group Insurance

In‑built Gym facility / Gym reimburse­

Job summary

Polymer Capital Management is seeking a data analytics/quant research professional to build quantitative tools and support risk management in a market‑neutral, Asia‑focused platform.

You will collaborate with portfolio managers, deploy tools to production, and tackle ad‑hoc data tasks. Proficiency in Python/R/C#, SQL, and AWS/CI/CD is preferred, with strong communication and independent work ability.

Qualifications

• Bachelor’s or above in a quantitative field; advanced degree is a plus.
• 2+ years in data analytics/quant research, risk management or software in finance.
• Programming in Python, R, C# and database development experience required.
• Experience with AWS, CI/CD, Terraform, Docker is strongly preferred.
• Web development and ML packages (TensorFlow, PyTorch) are a plus.
• Strong communication and team‑oriented mindset; able to work independently.

Responsibilities

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

Skills

Analytical thinking

Team player

Independent worker

Curiosity

Education

Bachelor’s or above in a quantitative field

Advanced degree (plus)

Tools

Python

R

C#

SQL / Database development

AWS

Terraform

Docker

JavaScript (Web)

TensorFlow / PyTorch

React / Angular / Vue

Job description

Polymer Capital Management is seeking a data analytics/quant research professional to build quantitative tools and support risk management in a market‑neutral, Asia‑focused platform.

You will collaborate with portfolio managers, deploy tools to production, and tackle ad‑hoc data tasks. Proficiency in Python/R/C#, SQL, and AWS/CI/CD is preferred, with strong communication and independent work ability.