Quantitative Strategist — Equities Synthetics & Automation

Goldman Sachs; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

Goldman Sachs in Hong Kong seeks a highly skilled quantitative strategist to build and maintain analytical tools for SPG Custom baskets, automating quoting, hedging and risk management. You will work with traders, quants and engineering teams to scale the business and improve efficiency.

The role requires strong STEM background and programming in C++, Python, or Java, plus OO design knowledge and fast, precise delivery in a dynamic, global team.

Qualifications

• Strong academic background in a STEM field (Computer Science, Engineering, Physics or Mathematics).
• Proficient in C++, Python, Java or equivalent, with OO design knowledge.

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

C++ programming

Python

Java

Object-oriented design

Quantitative problem solving

Education

STEM degree (CS/Engineering/Physics/Math)

Job description

Goldman Sachs in Hong Kong seeks a highly skilled quantitative strategist to build and maintain analytical tools for SPG Custom baskets, automating quoting, hedging and risk management. You will work with traders, quants and engineering teams to scale the business and improve efficiency.

The role requires strong STEM background and programming in C++, Python, or Java, plus OO design knowledge and fast, precise delivery in a dynamic, global team.