At a Glance
- Tasks: Lead the development of complex equity pricing models and influence strategic decisions.
- Company: Join a leading Tier 1 Investment Bank in London with a global reach.
- Benefits: Competitive salary, career advancement, and the chance to shape industry standards.
- Other info: Collaborative environment with opportunities for mentorship and professional growth.
- Why this job: Make a significant impact on equity modelling and governance at a top investment bank.
- Qualifications: PhD or Master's in Financial Mathematics, strong experience in equity derivatives modelling.
The predicted salary is between 100000 - 150000 € 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. 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 globally, 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 to 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 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
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
Director Equities Exotics Quant Specialist in London employer: Barclay Simpson
As a leading Tier 1 Investment Bank located in the heart of London, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and professional growth. Our employees benefit from unparalleled opportunities to influence model standards and governance practices while collaborating with top-tier professionals in the industry. With a commitment to excellence and a focus on employee development, we offer a rewarding environment for those looking to make a significant impact in the world of finance.
StudySmarter Expert Advice🤫
We think this is how you could land Director Equities Exotics Quant Specialist in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and quant space. Attend industry events or webinars where you can meet potential employers or colleagues. Remember, sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or models you’ve worked on, don’t hesitate to share them. Create a GitHub repository or a personal website showcasing your Python and modelling expertise. This can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with exotic derivatives. Practice explaining complex concepts in simple terms, as you’ll need to communicate effectively with senior stakeholders.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might be perfect for you. Don’t miss out on the chance to land your dream job by applying directly where you can get the best insights and updates about the role.
We think you need these skills to ace Director Equities Exotics Quant Specialist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience with complex equity exotics models. We want to see how your skills align with the specific requirements of the role, so don’t hold back on 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 modelling and how they can influence our equities business.
Showcase Your Technical Skills:Since Python is essential for this role, make sure to highlight your programming skills prominently. We’re looking for someone who can develop alternative benchmarks and testing frameworks, so any relevant projects or experiences should definitely be included!
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 keep track of your application and ensure it gets the attention it deserves. Don’t miss out on this opportunity!
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.
✨Brush Up on Python Skills
Since Python is essential for this role, ensure you're comfortable discussing your experience with it. Bring examples of analytical tests you've specified, built, and run, and be ready to talk about how you've used Python to develop alternative benchmarks or testing frameworks.
✨Prepare for Technical Reviews
Expect to perform deep model reviews during the interview. Think about how you would assess model assumptions and limitations, and be ready to articulate your thought process clearly. Practice explaining complex concepts in a way that’s easy to understand for senior stakeholders.
✨Showcase Your Communication Skills
This role requires strong communication skills, so be prepared to demonstrate how you've influenced senior stakeholders in previous roles. Think of specific instances where your advice shaped modelling decisions or improved governance practices, and be ready to share those stories.
