At a Glance
- Tasks: Develop and enhance complex equity pricing models while influencing model standards.
- Company: Join a leading Tier 1 Investment Bank in London with a global reach.
- Benefits: Competitive salary of £180k-£200k plus bonus, with potential visa sponsorship.
- Other info: Collaborate with top-tier professionals and enjoy exceptional career growth opportunities.
- Why this job: Become a platform-level modelling authority and shape the future of equity derivatives.
- Qualifications: PhD or Master’s in Financial Mathematics, with strong experience in equity derivatives modelling.
The predicted salary is between 180000 - 200000 £ per year.
A leading Tier 1 Investment Bank is seeking a Director-level Equities Exotics Modelling Quant to join its Equity & Hybrids team in London. Salary range £180k-£200k base plus bonus. 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 is embedded within the equities quant function globally, providing expert model challenge and shaping submissions ahead of independent validation.
This will suit a senior quant modelling specialist who has actually built and calibrated complex equity exotics models and can intellectually challenge pricing frameworks because they understand them deeply. A real unique opportunity to become a platform-level modelling authority offering broader influence across the equities business. This role requires a true modelling specialist — not just governance oversight. Strong recent experience in Equity exotics is essential.
Full details 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
- 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.
For a confidential discussion, please get in touch. Note- visa sponsorship may be arranged for the right candidate.
Equity Exotics Quant Modeller | 1st Line Challenge in Slough employer: Barclay Simpson
Contact Detail:
Barclay Simpson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Equity Exotics Quant Modeller | 1st Line Challenge in Slough
✨Network Like a Pro
Get out there and connect with people in the industry! Attend finance meetups, webinars, or even casual coffee chats. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with complex equity exotics models and how you've tackled challenges. We want to see your passion and expertise shine through!
✨Prepare for Technical Interviews
Brush up on your Python and C++ skills because you might be asked to solve problems on the spot. We recommend practising coding challenges and discussing your thought process out loud to impress those interviewers.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Equity Exotics Quant Modeller | 1st Line Challenge in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience with equity exotics models. We want to see how your skills align with the specific requirements of the role, so don’t be shy about showcasing your technical expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Director-level position. We love seeing candidates who can articulate their passion for quantitative modelling and how they can influence our team.
Showcase Your Technical Skills: Since this role is highly technical, make sure to highlight your proficiency in Python and any experience with C++. We want to know about the complex models you've built and calibrated, so give us the details!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Barclay Simpson
✨Know Your Models Inside Out
Make sure you can discuss the intricacies of complex equity pricing models like Local Vol and Stochastic Local Volatility. Be prepared to explain how you've built and calibrated these models in the past, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Technical Skills
Since this role requires strong Python skills, brush up on your coding abilities. Be ready to demonstrate your analytical testing capabilities and discuss any relevant projects where you've used Python or C++. If you have experience with automation, definitely highlight that too!
✨Communicate Effectively
You’ll need to articulate complex findings to senior stakeholders, so practice explaining your work in a clear and concise manner. Use examples from your previous roles to illustrate how you've influenced model standards and governance practices.
✨Prepare for Technical Challenges
Expect to face technical questions that challenge your understanding of model assumptions and limitations. Think about how you would assess risk impacts and develop alternative models. Being able to think critically and provide insights will set you apart.