Quantitative Trading Associate – Automation & Risk

Candidate Experience Site - Lateral; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Benefits offered by this job

Healthcare benefits

Vacation policy

Employee assistance

Job summary

Goldman Sachs in Hong Kong seeks a quantitative strategist to join SPG Custom baskets, developing analytical tools and pricing infrastructure, while partnering with trading and engineering to enhance risk management and automation.

The role emphasizes global collaboration, applying advanced scientific training to real-world financial problems and delivering fast, robust solutions in a dynamic trading environment.

Qualifications

• Strong academic background in a relevant STEM field (Computer Science, Engineering, Physics or Mathematics)
• Strong programming skills in a modern programming language (C++, Python, Java or equivalent language) and familiarity with object-oriented design principles
• Ability to work as a member of a global team and deliver results quickly
• Ability to focus both on details and on the big picture
• Ability to work in a dynamic and fast-paced environment and deliver accurate results quickly

Responsibilities

• Develop and maintain quantitative analytical tools for SPG Custom baskets business
• Development of robust quoting and pricing infra
• Identify opportunity to improve sales and trading efficiency through automation and tooling
• Scale the business by increasing automated risk management for exposures to Equity, FX etc
• Collaborate closely with the trading team to ensure daily accurate risk management
• Form strong partnerships with trading, sales, quants, operations and engineering teams

Skills

Quantitative finance

C++

Python

Java

Teamwork

Problem solving

Education

Bachelor’s degree in STEM (CS/Engineering/Physics/Math)

Job description

Goldman Sachs in Hong Kong seeks a quantitative strategist to join SPG Custom baskets, developing analytical tools and pricing infrastructure, while partnering with trading and engineering to enhance risk management and automation.

The role emphasizes global collaboration, applying advanced scientific training to real-world financial problems and delivering fast, robust solutions in a dynamic trading environment.