A leading Tier 1 Investment Bank is seeking a Director-level Equities Exotics Modelling Quant to join its Equity & Hybrids team in London.
This is a highly technical and hands-on role focused on complex and exotic equity pricing models (Local Vol, Stochastic Local Volatility, Local Correlation, Cliquets and cross-asset hybrids). The position sits in the 1st line, embedded within the equities quant function glboally, providing expert model challenge and shaping submissions ahead of independent validation.
This will suit a senior modelling specialist who has actually built and calibrated complex equity exotics models and can intellectually challenge pricing frameworks because they understand them deeply. Not direct PnL and is a shift from building models for a specific book tobecoming a platform-level modelling authority offering broader influence across the equities business.
The successful candidate will:
• Perform deep model reviews and challenge assumptions/limitations
• Develop alternative benchmarks and testing frameworks (Python essential)
• Write high-quality technical documentation
• Advise senior stakeholders on modelling decisions
• Drive automation and tooling improvements
This role requires a true modelling specialist — not just governance oversight. Strong recent experience in Equity exotics is essential.
Full detials of the Role:
You will work closely with Front Office quant teams developing and enhancing pricing and risk models across Equity and Hybrid products, particularly exotic derivatives. Acting as a senior technical authority, you will review and challenge model assumptions, guide enhancements, and help shape the overall modelling framework.
This role goes beyond pure model review — you will influence model standards, testing frameworks and governance practices across the function.
Key Responsibilities
*Perform detailed technical reviews of complex equity and hybrid derivatives models
*Assess model assumptions, limitations and associated risk impacts
*Develop alternative models or benchmarking approaches where appropriate
*Specify, build and run analytical tests (primarily in Python; C++ exposure beneficial)
*Analyse results and clearly articulate findings to senior stakeholders
*Produce high-quality documentation aligned to internal governance standards
*Strengthen model testing coverage and promote automation where possible
*Partner with traders, strategists, developers and validation teams across the model lifecycle
*Contribute to broader strategic initiatives relating to model standards and controls
*Provide mentorship and technical guidance to less experienced quants
Candidate Profile
*PhD or Master’s degree in Financial Mathematics, Mathematics or Physics
*Significant experience developing and/or implementing Equity Derivatives models (hybrids advantageous)
*Strong knowledge of exotic derivatives modelling (equity preferred; other asset classes considered)
*Advanced Python skills; C++ beneficial
*Experience interacting with validation and control functions
*Exceptional attention to detail and high professional standards
*Strong communication skills with the ability to influence senior stakeholders
This is an opportunity to operate at Director level within a leading global investment bank, combining deep quantitative expertise with strategic influence across Front Office model development and governance.
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