Location
London, Greater London, England

Hours
Full Time

Salary
Negotiable

About the Role
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. We help them buy and sell financial products around the world, raise funding, and manage risk. This dynamic and entrepreneurial team thrives in fast-paced, changing environments and is energized by a bustling trading floor.

The Global Currency and Emerging Markets (GCEM) Strats team works closely with Trading to develop quantitative research, models and technology to solve complex markets and risk-management problems. 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. You will develop forecasting and prediction models, signals, and systematic hedging strategies, with careful attention to transaction costs, liquidity, tail risk, capacity and robustness across market regimes. The primary focus is systematic FX options and volatility research; relevant experience may come from FX, equities, rates, commodities or another liquid macro asset class.

You will work in a collaborative environment involving close interaction between Researchers and Traders while utilizing public and proprietary firm data. This is a highly visible, markets and trading-facing role with a clear path from original research to measurable commercial impact.

Experience
- 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
- Strong programming skills and experience working with large market datasets, research pipelines and backtesting frameworks; proficiency in Python, Java, or similar languages is beneficial

About you
- Experienced, intellectually curious quantitative researcher with strong research judgment, options intuition and a trading orientation
- Ability to independently turn market observations into practical implementations supported by detailed quantitative analysis
- Collaborative mindset to work closely with Traders, fellow Strats and Engineers
- Clear written and verbal communication skills, intellectual honesty, high standards and ability to work effectively in a fast-paced collaborative environment

Qualifications
- MS or PhD in statistics, mathematics, physics, computer science, engineering, operations research, econometrics, quantitative finance or a related quantitative discipline
- Excellent foundation in statistics, probability, time-series analysis, econometrics, machine learning, optimization and experimental design
- Track record of independent research ownership, sound judgment and a rigorous and diligent analytical approach