Quantitative Researcher — Exotic Equity Options | Front Office | Global Macro Fund | London
JMD Reg Consultancy LTD London, United KingdomQuantitative Researcher — Exotic Equity Options | Front Office | Global Macro Fund | London
JMD Reg Consultancy LTD London, United Kingdom
A global macro fund is building out a new structured and exotic equity derivatives capability. This is a rare front-office quant role with a genuine path to becoming a trader and risk taker over time.
The hire will be the foundational quant, responsible for building pricing models and infrastructure from the ground up before transitioning into an enhance-and-maintain phase.
The successful candidate will work closely and directly with the PM, with growing responsibility for risk and P&L as the desk matures.
The Role- Build and own exotic equity options pricing models from scratch in a greenfield environment
- Develop and implement models for barrier options , path-dependent payoffs , and broader exotic equity derivatives (autocallables, lookbacks, Asian options, cliquets)
- Build and calibrate local volatility and stochastic volatility surfaces (Heston, SABR, local-stochastic vol)
- Construct vol surface infrastructure and manage model lifecycle from research through to production
- Work directly with the incoming PM on model design, risk frameworks, and trading strategy
- Transition over time into a trading and risk-taking capacity as the desk develops
Experience & Background:
- Approximately 5 years of front-office quantitative research experience on a sell-side exotic or structured equity vol desk
- Must have live, production model-building experience, this is not a model risk, validation, or control function role
- Demonstrable track record of owning models end-to-end: research → build → production
Technical Skills:
- Strong hands-on experience with exotic equity derivatives, barrier options, path-dependent payoffs, and the broader exotic toolkit are essential
- Proficiency in local vol and/or stochastic vol modelling (Heston, SABR, LSV)
- Strong C++ for model implementation; Python a strong plus
- Experience building greenfield quant infrastructure, not just maintaining inherited frameworks
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