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

Overview

As a Quantitative Researcher in GCEM Strats, you turn observations into robust, scalable systematic strategies for option markets and risk management. You collaborate with Traders to research, test, and deploy models that shape pricing, hedging, and market making across global macro assets. You work on forecasting, signals, and hedging with attention to costs, liquidity, and regime changes. This role blends deep research with real-world impact on trading outcomes, offering exposure to FX options and volatility research in a high-energy environment.

Responsibilities

• Originate and test systematic option market making approaches
• Develop volatility forecasting models (skew, smile, term structure, carry, regime analysis)
• Design and implement systematic hedging for vega and related risks with market constraints
• Own end-to-end research process: data processing, backtesting, portfolio construction and attribution
• Assess production performance and refine models as markets evolve
• Collaborate with Traders to incorporate market structure insights
• Build reusable analytical tools and contribute to shared research infrastructure
• Communicate methods, risks and results to Trading and senior stakeholders

Key requirements

• MS or PhD in a quantitative field
• 4–8 years of applied quantitative research in systematic options or volatility trading or related areas
• Experience developing/validating predictive models, signals, or hedging strategies
• Strong understanding of options, volatility, Greeks, surfaces, P&L attribution, costs, tail risk
• Experience with FX, equities, rates, commodities or other liquid macro assets; cross-asset experience valued
• Strong foundation in statistics, time-series analysis, econometrics, ML, optimization
• Strong programming skills; experience with large market datasets, backtesting pipelines; Python/Java beneficial
• Independent research ownership, rigorous analytical approach, clear communication

• Strong research judgment
• Trading orientation and collaboration
• Clear written and verbal communication
• Statistics, probability, time-series analysis
• Econometrics, ML, optimization, experimental design
• Experience with options, volatility and risk metrics (Greeks, carry, roll-down)

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