Global Banking & Markets, Quantitative Researcher – Systematic Option Strategies – FICC Global Currencies & Emerging Markets Strats, VP, London at Goldman Sachs | GB | Rezi

Global Banking & Markets, Quantitative Researcher – Systematic Option Strategies – FICC Global Currencies & Emerging Markets Strats, VP, London at Goldman Sachs

Global Banking & Markets, Quantitative Researcher – Systematic Option Strategies – FICC Global Currencies & Emerging Markets Strats, VP, London

Goldman Sachs · GB

2 weeks ago

Global Banking & Markets, Quantitative Researcher – Systematic Option Strategies – FICC Global Currencies & Emerging Markets Strats, VP, London

Goldman Sachs · GB

19 days ago
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About the Role

As a quantitative researcher within the GCEM Strats team, you will focus on Systematic Option Strategies and partner with the trading desk to research, test and implement systematic solutions to Market-Making, signal generation and enhanced risk management across global macro markets. Your research will directly influence how the desk conceptualizes, prices and hedges option risk.

Responsibilities

  • Drive and contribute to applied research for Systematic Option Strategies, translating market intuition and observations into robust, scalable systematic risk management and market making strategies.
  • Originate and test systematic option market making approaches, incorporating a diverse array of techniques and signals.
  • Develop forecasting models for volatility markets, capturing skew, smile, term structure, carry effects, cross-asset relationships and market regimes.
  • Design and implement systematic hedging strategies for vega and related risks subject to real market constraints, balancing expected P&L, transaction costs, liquidity, basis and tail risks.
  • Own the end-to-end research process: idea generation, data processing, hypothesis design, feature engineering, backtesting/validation, portfolio construction and performance attribution.
  • Apply robust research standards, including bias controls, regime and stress analysis, sensitivity testing, realistic implementation assumptions and clear documentation.
  • Assess production performance of successfully deployed research and refine models as markets evolve.
  • Partner with Traders to gain insights into and leverage institutional knowledge of market structure and function that can inform research.
  • Build reusable analytical tools and contribute to shared research infrastructure, data standards and best practices.
  • Communicate methods, assumptions, risks and results clearly to Trading and senior stakeholders.

Requirements

  • MS or PhD in statistics, mathematics, physics, computer science, engineering, operations research, econometrics, quantitative finance or a related quantitative discipline.
  • Typically 4–8 years of applied quantitative research experience in systematic options or volatility trading, systematic macro, derivatives, cross-asset relative value, statistical arbitrage or a closely related area.
  • Demonstrated experience developing and validating predictive models, signals, strategies or systematic hedging approaches.
  • Strong understanding of options, volatility and risk, including Greeks, volatility surfaces, carry and roll-down, P&L attribution, transaction costs and tail behavior.
  • Experience with options in FX, equities, rates, commodities or another liquid macro asset class; cross-asset experience is valued.
  • Excellent foundation in statistics, probability, time-series analysis, econometrics, machine learning, optimization and experimental design.
  • Strong programming skills and experience working with large market datasets, research pipelines and backtesting frameworks; proficiency in Python, Java, or similar languages is beneficial.
  • Track record of independent research ownership, sound judgment and a rigorous and diligent analytical approach.
  • Clear written and verbal communication skills, intellectual honesty, high standards and the ability to work effectively in a fast-paced collaborative environment.

Skills

  • Systematic Option Strategies
  • Market-Making
  • Signal Generation
  • Risk Management
  • Quantitative Research
  • Volatility Modeling
  • Hedging Strategies
  • Data Analysis
  • Model Development
  • Validation
  • Strategy Implementation
  • Forecasting
  • Prediction Models
  • Transaction Costs
  • Liquidity
  • Tail Risk
  • Capacity
  • Robustness
  • FX Options
  • Volatility
  • Python
  • Java

Location

  • Global

Work Type

  • Full-time

Experience Level

  • 4-8 years

Education Level

  • MS or PhD

About the Company

  • Operating at the center of global financial markets, Global Banking & Markets serves institutional clients including asset managers, hedge funds, banks and brokerages, pensions, endowments and foundations, corporations and governments.
  • The FICC and Equities Quantitative Strategists team works at the center of Goldman Sachs' global markets business.
  • We work hand in hand with Traders to turn quantitative research into solutions directly deployed in our trading franchise, running in live markets.
  • The Goldman Sachs Group, Inc. is leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.
  • Founded in 1869, the firm is headquartered in New York and maintains offices.