Systematic Options Quant, FX & Volatility

Goldman Sachs; New York (NY); On-site; USD 155,000 - 300,000; Full time

Job summary

Goldman Sachs is seeking a Quantitative Researcher in New York to join the GCEM Strats team focused on Systematic Option Strategies and market-making across global macro assets. You will collaborate with Traders to research, test and implement systematic solutions for pricing, hedging and risk management.

You will develop forecasting models, signals and hedging strategies, with emphasis on FX options, volatility research and cross-asset relationships.

Qualifications

• MS or PhD in a quantitative field such as statistics, math, physics, computer science, engineering, econometrics or related discipline.
• 4–8 years of applied quantitative research in systematic options or volatility trading.
• Experience building and validating predictive models, signals, strategies or systematic hedging approaches.
• Strong understanding of options, volatility and risk, including Greeks, volatility surfaces, carry and P&L attribution.
• Experience with options in FX, equities, rates, commodities or another liquid macro asset class; cross-asset experience valued.
• Excellent foundation in statistics, probability, time-series analysis, econometrics, machine learning, optimization and experimental design.
• Strong programming skills and experience with large market datasets; Python, Java or similar languages.
• Track record of independent research ownership and clear communication.

Responsibilities

• Originate and test systematic option market making approaches with diverse signals.
• Develop forecasting models for volatility markets and cross-asset relationships.
• Design and implement systematic hedging strategies for vega and related risks.
• Own the end-to-end research process from idea to backtesting and implementation.
• Apply robust research standards including bias controls, regime analysis and documentation.
• Assess production performance of deployed research and refine models as markets evolve.
• Partner with Traders to leverage institutional knowledge of market structure.
• Build reusable analytical tools and contribute to research infrastructure.
• Communicate methods, risks and results clearly to Trading and senior stakeholders.

Skills

Quantitative research

Programming in Python/Java

Statistical analysis

Backtesting

Communication skills

Education

MS/PhD in quantitative field

Tools

Python

Java

Job description

Goldman Sachs is seeking a Quantitative Researcher in New York to join the GCEM Strats team focused on Systematic Option Strategies and market-making across global macro assets. You will collaborate with Traders to research, test and implement systematic solutions for pricing, hedging and risk management.

You will develop forecasting models, signals and hedging strategies, with emphasis on FX options, volatility research and cross-asset relationships.