VP, Quantitative Volatility Trading Research

Goldman Sachs

Hong Kong

On-site

HKD 1,500,000 - 3,000,000

Full time

2 days ago
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Job summary

Goldman Sachs in Hong Kong is seeking an Experienced Quantitative Researcher to join its Quantitative Volatility Trading team. You will own end-to-end pricing for on-exchange options, collaborating with Trading, Research and Developer teams.

The role requires 5–10 years in options pricing, strong C++ and Python, and a data-driven mindset to improve trading performance. This VP-level position offers high impact in a fast-paced market-making environment.

Qualifications

  • 5–10 years of experience on an options market-making, electronic trading, or quantitative trading team.
  • Strong understanding of options pricing in an on-exchange market making context.
  • Demonstrated ability to apply systematic and analytical thinking to trading and risk problems.
  • Professional experience writing both C++ and Python.
  • A track record of leveraging data to make sustained, systematic improvements in a trading system.

Responsibilities

  • Own the end-to-end production pricing workflow.
  • Define and implement business metrics to quantify pricing quality and guide R&D effort.
  • Build and extend simulation abilities and leverage such capabilities to guide development and production behavior.
  • Monitor live trading and investigate unusual events and system behavior to identify actionable improvements.
  • Partner closely with quantitative researchers and software engineers to ensure optimal interactions between pricing and ultimate trading behavior.
  • Use data-driven analysis to evaluate strategy performance and prioritize enhancements.

Skills

Options pricing
C++
Python
Data-driven
Trading systems
Communication
Team collaboration

Education

MS/PhD in mathematics, physics or related STEM field

Tools

C++
Python

Job description

Goldman Sachs in Hong Kong is seeking an Experienced Quantitative Researcher to join its Quantitative Volatility Trading team. You will own end-to-end pricing for on-exchange options, collaborating with Trading, Research and Developer teams.

The role requires 5–10 years in options pricing, strong C++ and Python, and a data-driven mindset to improve trading performance. This VP-level position offers high impact in a fast-paced market-making environment.

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