At a Glance
- Tasks: Design and implement quantitative models for capital requirements and regulatory frameworks.
- Company: Leading global financial institution with a focus on innovation and responsible finance.
- Benefits: Collaborative environment, broad exposure, and impactful work in a fast-paced setting.
- Why this job: Solve real-world capital and risk problems while working with top-tier professionals.
- Qualifications: 6-7 years of quant experience, strong programming skills in Python, and a relevant MSc or PhD.
- Other info: Immediate start preferred; applications reviewed on a rolling basis.
The predicted salary is between 43200 - 72000 Β£ per year.
Job Description
Onsite WORKING
Location: London, Central London, Greater London β United Kingdom Type: Permanent
A leading global financial institution is seeking a Vice President-level Quantitative Analyst to join its Capital Analytics team within a front-office-aligned quant group. This team plays a critical role in the development of cross-asset quantitative models and tools that underpin the firm's capital calculations and regulatory frameworks, including SACCR and Resolution requirements.
This is a high-impact, hands-on quant role offering close collaboration with trading desks, structurers, and risk and control teams. You'll be joining a technically strong and commercially aware group operating across asset classes in a fast-paced, front-office environment.
Key Responsibilities:
- Design, implement, and support cross-asset quantitative analytics related to capital requirements and regulatory frameworks.
- Develop pricing and risk models using advanced mathematical methods including Monte Carlo simulations, stochastic processes, and numerical techniques (e.g., PDE solvers).
- Code production-quality models and tools in Python; familiarity with C++ is a plus.
- Partner directly with traders, structurers, and control functions to ensure robust analytics and appropriate governance.
- Deliver scalable solutions with impact across multiple asset classes and regulatory domains.
- Maintain high standards of model validation, documentation, and control in line with internal and external requirements.
What We're Looking For:
- 6-7 years of quant experience in a front-office or risk capacity at a leading bank or financial institution.
- Strong familiarity with capital regulation (e.g., SACCR, Resolution planning).
- Solid programming expertise β Python is essential; C++ experience is highly desirable.
- Deep understanding of financial products across asset classes.
- Excellent problem-solving skills and a strong quantitative background.
- Effective communicator, able to work across teams and explain complex models clearly.
- MSc or PhD in a technical field such as mathematics, physics, quantitative finance, engineering, or computer science.
- Candidates from model validation backgrounds may be considered only with exceptional academic qualifications and demonstrated modeling ability.
Why Apply:
- Join a front-office aligned quant team solving real-world capital and risk problems.
- Gain broad product and desk exposure in a cross-asset environment.
- Work in a collaborative, technically excellent team with a high degree of ownership and impact.
- Be part of an organisation with strong focus on innovation, governance, and responsible finance.
Applications are being reviewed on a rolling basis, with an immediate start preferred.
If you're a quant with strong front-office or risk credentials and want to work on impactful, regulatory-driven modeling challenges, we encourage you to apply now.
VP - Front Office Quant Analyst, Capital Analytics employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land VP - Front Office Quant Analyst, Capital Analytics
β¨Tip Number 1
Network like a pro! Reach out to your connections in the finance world, especially those in quant roles. A friendly chat can lead to insider info about job openings or even a referral.
β¨Tip Number 2
Show off your skills! Prepare a portfolio of your quantitative models and tools. When you get the chance to chat with potential employers, having tangible examples of your work can really set you apart.
β¨Tip Number 3
Stay updated on industry trends! Follow financial news and developments in capital regulations. Being knowledgeable about current events can help you impress during interviews and show that you're genuinely interested in the field.
β¨Tip Number 4
Donβt forget to apply through our website! Weβre always on the lookout for talented quants like you. Plus, applying directly can sometimes give you a better shot at getting noticed by hiring managers.
We think you need these skills to ace VP - Front Office Quant Analyst, Capital Analytics
Some tips for your application π«‘
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that align with the VP - Front Office Quant Analyst role. Highlight your quant experience, especially in capital regulation and programming expertise in Python.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for our Capital Analytics team. Share your passion for quantitative analysis and how your background can contribute to solving real-world capital and risk problems.
Showcase Your Technical Skills: Donβt shy away from detailing your programming skills, especially in Python and any experience with C++. Mention specific projects or models you've worked on that demonstrate your ability to deliver scalable solutions.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people quickly and shows us you're serious about joining our innovative team.
How to prepare for a job interview at Anson McCade
β¨Know Your Quant Models
Make sure you brush up on the quantitative models relevant to capital requirements and regulatory frameworks. Be ready to discuss your experience with Monte Carlo simulations, stochastic processes, and numerical techniques. This will show that youβre not just familiar with the theory but can apply it practically.
β¨Showcase Your Coding Skills
Since coding production-quality models in Python is essential for this role, prepare to demonstrate your programming skills. Bring examples of your work or be ready to solve a coding challenge during the interview. If you have experience with C++, donβt forget to mention that too!
β¨Communicate Clearly
As an effective communicator, youβll need to explain complex models to traders and structurers. Practice articulating your thought process and findings clearly. Use simple language to describe intricate concepts, as this will highlight your ability to collaborate across teams.
β¨Understand the Regulatory Landscape
Familiarise yourself with capital regulations like SACCR and Resolution planning. Be prepared to discuss how these regulations impact quantitative analytics and model development. Showing that you understand the bigger picture will set you apart from other candidates.