Quantitative Strategist: FX Options & Volatility

Goldman Sachs; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Goldman Sachs in London seeks a senior quantitative researcher for the GCEM Strats team. You will translate market observations into robust, scalable risk management and market-making strategies, working closely with Traders and Engineers on FX options, volatility and cross-asset research.

Your work encompasses model development, backtesting, live deployment and clear communication of methods and results to senior stakeholders, with emphasis on scalability and robustness in a fast-paced trading

Qualifications

• MS or PhD in statistics, mathematics, physics, CS, engineering or related field.
• 4–8 years of applied quantitative research in systematic options or volatility trading.
• Experience validating predictive models, signals or hedging approaches.
• Strong understanding of options, volatility, Greeks, P&L attribution and tail risks.
• Experience with FX, equities, rates or commodities; cross-asset is valued.
• Solid foundation in statistics, econometrics, ML, time-series analysis.
• Strong programming skills and large market data handling; Python/Java beneficial.

Responsibilities

• Originate and test systematic option market making approaches with diverse signals.
• Develop forecasting models for volatility, carry effects and cross-asset relations.
• Design and implement hedging strategies for vega and related risks under constraints.
• Own end-to-end research process from idea to backtesting and deployment.
• Apply bias controls, regime analysis, stress testing and robust documentation.
• Assess production performance and refine models as markets evolve.
• Collaborate with Traders to leverage institutional market knowledge.
• Build reusable analytic tools and contribute to research infrastructure.

Skills

Statistics

Time-series analysis

Machine learning

Python / Java

Derivatives knowledge

Options & volatility

Cross-asset experience

Research ownership

Education

MS/PhD in quantitative field

Tools

Python

Java

Job description

Goldman Sachs in London seeks a senior quantitative researcher for the GCEM Strats team. You will translate market observations into robust, scalable risk management and market-making strategies, working closely with Traders and Engineers on FX options, volatility and cross-asset research.

Your work encompasses model development, backtesting, live deployment and clear communication of methods and results to senior stakeholders, with emphasis on scalability and robustness in a fast-paced trading