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

Polymer Capital Hong Kong; Hong Kong; On-site; HKD 800,000 - 1,200,000; Full time

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

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:

• Cloud (CI/CD setup, Terraform, Docker)
• 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

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

• Medical Group Insurance
• In-built Gym facility / Gym reimbursement
• DEI and Philanthropy Initiatives
• Professional Learning & Development Opportunities