Job Description
A leading Tier 1 Investment Bank is seeking a Director-level Equities Exotics Modelling Quant for the London team.
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. Somebody who'd be looking for true recognition by becoming 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.
Please get in touch with tg@barclaysimpson.com