Senior Quants Risk Manager

Senior Quants Risk Manager

Full-Time 145000 - 145000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead reviews of complex models and ensure they meet regulatory standards.
  • Company: Dynamic financial services firm with a focus on innovation and collaboration.
  • Benefits: Up to £145k salary, 38 days leave, private medical cover, and flexible working options.
  • Why this job: Make a real impact in risk management while working with cutting-edge quantitative techniques.
  • Qualifications: Strong quantitative background, programming skills, and experience in financial services.
  • Other info: Inclusive environment encouraging applicants from diverse backgrounds.

The predicted salary is between 145000 - 145000 £ per year.

Job Type: Permanent

Location: This role can be based in either our London, Birmingham, or Edinburgh offices with time spent working in the office and at home. Flexible working: All roles are open to part‑time, job‑share and other types of flexibility. We will discuss what is important to you and balancing this with business requirements during the recruitment process.

Closing Date: 1st May 2026

Salary & Benefits: Up to £145k depending on experience plus an indicative bonus range of 30‑60% private medical cover, 38 days annual leave, excellent pension, 12x salary life assurance, career breaks, income protection, 3x volunteering days and more.

The Role: As a Senior Quants Risk Manager, you’ll play a central role in ensuring the integrity, robustness and appropriateness of the models that underpin key decisions across our business. Working within our Transaction and Quant Modelling Oversight team, you’ll lead end‑to‑end reviews of a wide range of models covering asset pricing, liability valuation, ALM, and credit. You’ll provide independent, evidence‑based challenge on both the methodology and implementation of models, ensuring they meet regulatory expectations, internal standards and industry best practice. The role requires close collaboration with model developers as well as engagement with senior stakeholders across risk, finance, and asset management. You will have access to production code and develop benchmark models and analytical tools in state‑of‑the‑art asset systems. This is an opportunity to apply deep quantitative expertise to high‑impact work, influence modelling strategy, and help shape how we manage risk across a growing and strategically important area of the business.

What we are looking for:

  • Strong academic background in a quantitative discipline (e.g. mathematics, physics, statistics, or actuarial science), ideally MSc or PhD level
  • Demonstrated experience in a quantitative role within insurance or financial services (e.g. model validation, model development, or actuarial modelling) with the ability to independently lead reviews of complex models
  • Understanding of stochastic modelling techniques such as Monte Carlo, interest rate modelling, or asset‑liability modelling
  • Good understanding of insurance regulatory frameworks (e.g. Solvency II)
  • Strong programming skills (e.g., Python, VBA, or actuarial modelling platforms) with the ability to review quantitative code

We are committed to ensuring that everyone feels accepted and welcome. Applicants from all backgrounds are encouraged to apply, and if your experience looks different from what we’ve advertised but you believe that you can bring value to the role, we’d love to hear from you.

Senior Quants Risk Manager employer: Standard Life plc

As a Senior Quants Risk Manager, you will thrive in a dynamic and inclusive work environment that champions flexibility and work-life balance, with options for part-time and job-share arrangements. Our commitment to employee well-being is reflected in our generous benefits package, including up to 38 days of annual leave, private medical cover, and opportunities for career development through challenging projects and collaboration with senior stakeholders. Join us in one of our vibrant offices in London, Birmingham, or Edinburgh, where you can make a meaningful impact while enjoying a supportive culture that values diverse perspectives.
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Contact Detail:

Standard Life plc Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Quants Risk Manager

✨Network Like a Pro

Get out there and connect with people in the industry! Attend events, join online forums, or even reach out to folks on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Quants Risk Manager role.

✨Ace the Interview

Prepare for your interviews by brushing up on your technical skills and understanding the latest trends in quantitative risk management. We recommend practising common interview questions and even doing mock interviews with friends. Show them you’re the expert they need!

✨Showcase Your Skills

Create a portfolio that highlights your quantitative projects and achievements. Whether it’s a GitHub repository with your coding work or case studies of models you’ve developed, we want to see what you can do. This is your chance to shine!

✨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 the initiative to engage with us directly.

We think you need these skills to ace Senior Quants Risk Manager

Quantitative Analysis
Model Validation
Model Development
Actuarial Modelling
Stochastic Modelling Techniques
Monte Carlo Simulation
Interest Rate Modelling
Asset-Liability Modelling
Understanding of Solvency II
Programming in Python
Programming in VBA
Analytical Skills
Stakeholder Engagement
Evidence-Based Challenge

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Quants Risk Manager role. Highlight your quantitative background and any relevant experience in model validation or development. We want to see how you can bring value to our team!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your expertise aligns with our needs. Don’t forget to mention your understanding of regulatory frameworks like Solvency II – it’s a big plus for us!

Showcase Your Technical Skills: Since programming is key for this role, make sure to highlight your proficiency in languages like Python or VBA. If you've worked on complex models or have experience with stochastic modelling techniques, let us know – we love seeing that kind of expertise!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!

How to prepare for a job interview at Standard Life plc

✨Know Your Models Inside Out

As a Senior Quants Risk Manager, you'll be expected to have a deep understanding of various models. Brush up on your knowledge of asset pricing, liability valuation, and stochastic modelling techniques like Monte Carlo. Be ready to discuss specific examples from your past experience where you led reviews or developed models.

✨Showcase Your Programming Skills

Make sure you're comfortable discussing your programming experience, especially with Python and VBA. Prepare to talk about how you've used these skills in previous roles, perhaps by reviewing quantitative code or developing analytical tools. If possible, bring along examples of your work to demonstrate your capabilities.

✨Understand Regulatory Frameworks

Familiarise yourself with insurance regulatory frameworks, particularly Solvency II. Be prepared to discuss how these regulations impact model development and validation. Showing that you can navigate these complexities will set you apart from other candidates.

✨Engage with Stakeholders

This role involves collaboration with senior stakeholders across various departments. Think about how you've successfully engaged with different teams in the past. Prepare to share examples of how you communicated complex quantitative concepts to non-technical audiences, as this will highlight your ability to influence and lead discussions.

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