At a Glance
- Tasks: Lead the development of innovative quantitative models using advanced analytics and AI.
- Company: M&G, a historic leader in savings and investments with a collaborative culture.
- Benefits: Generous pension scheme, 38 days annual leave, and financial wellbeing support.
- Other info: Flexible working arrangements and a focus on continuous improvement and innovation.
- Why this job: Make a real impact in a dynamic team while advancing your career in modelling.
- Qualifications: Expertise in quantitative modelling, leadership experience, and strong stakeholder engagement skills.
The predicted salary is between 63000 - 77000 £ per year.
At M&G, our purpose is to give everyone real confidence to put their money to work.
With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions.
Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions.
Through telling it like it is, owning it now and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.
We will consider flexible working arrangements for any of our roles and offer workplace adjustments to ensure you have the support you need to succeed in your role.
Role Summary
This role sits within the Actuarial Modelling & Valuations Capability team and focuses on advancing quantitative and statistical modelling capabilities.
The role is responsible for developing and enhancing models through the application of advanced analytics, including data science, machine learning, and proxy modelling techniques.
The role combines deep technical expertise with a forward-looking approach to innovation, supporting improvements in model accuracy, efficiency, and insight generation.
It contributes to the evolution of modelling practices by delivering robust, scalable solutions aligned to business priorities.
Alongside technical delivery, the role has significant responsibility for leading a multi-skilled team of actuaries, data scientists, and technical specialists.
It requires strong stakeholder engagement across actuarial, risk, finance, and technology teams to ensure effective collaboration and alignment.
Artificial intelligence will be applied as part of a broader modelling toolkit, supporting innovation and efficiency.
The role operates with a strong focus on continuous improvement, delivering practical outcomes while developing people and capabilities across the team.
- Main Responsibilities
- Lead the development and enhancement of quantitative and statistical models, including proxy modelling techniques.
- Manage a multi-disciplinary team of actuaries, data scientists, and technical experts, fostering a collaborative and high-performing environment.
- Apply a range of analytical approaches, including data science and machine learning, to develop and enhance models, designing and implementing scalable modelling solutions to support valuation and reporting processes.
- Use artificial intelligence as part of the broader modelling toolkit to support innovation and efficiency.
- Provide technical leadership and guidance, supporting capability development and knowledge sharing.
- Drive strong stakeholder engagement, working closely with cross-functional teams to align priorities and deliver outcomes.
- Translate business requirements into robust and practical modelling approaches.
- Ensure all models meet governance, validation, and documentation standards.
- Identify opportunities to simplify, automate, and optimise modelling processes.
- Key Knowledge, Skills and Experience
- Strong expertise in quantitative and statistical modelling techniques.
- Experience with proxy modelling and a range of advanced analytical approaches.
- Experience in leading and developing multi-skilled technical teams.
- Understanding of data science, machine learning, and the practical application of AI within modelling.
- Strong stakeholder management skills, with the ability to influence and collaborate effectively.
- Ability to design, build, and maintain scalable and efficient modelling solutions.
- Strong understanding of model governance, validation, and controls.
- Ability to communicate complex technical concepts clearly to a range of stakeholders.
- A proactive approach to innovation, balanced with a focus on delivery, control, and quality.
Essential Skills
- Quantitative and statistical modelling
- Proxy modelling techniques
- Leadership and team development
- Stakeholder engagement and influencing
- Machine learning and data science
- Awareness of artificial intelligence applications
- Programming and model development
- Critical thinking and structured problem solving
- Attention to detail and quality assurance
- Continuous improvement mindset
What we offer
We're dedicated to supporting your wellbeing and helping you thrive, both at work and beyond.
Our benefits are designed to help you balance your professional and personal life , and financially plan for the future.
Our UK benefits include
- A valuable pension scheme of up to 18% (13% made up of employer contributions and 5% employee contributions).
- Access to our Share Save and Share Incentive Plan, alongside financial wellbeing and support services to help give you real confidence to put your money to work.
- Enjoy 38 days annual leave (including bank holidays), with the opportunity to purchase up to five extra days. Our Time Off When You Need It policy gives y
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Quantitative Modelling Manager - Actuarial Modelling & Valuations Capability in London employer: mgpru
At M&G, we pride ourselves on being an exceptional employer that fosters a culture of integrity, collaboration, and innovation. Our commitment to employee wellbeing is reflected in our flexible working arrangements and comprehensive support systems, ensuring that every team member can thrive both professionally and personally. With over 175 years of heritage in the financial services sector, we offer unparalleled opportunities for growth and development, making us an ideal choice for talented individuals seeking meaningful and rewarding careers in the heart of the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Modelling Manager - Actuarial Modelling & Valuations Capability in London
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
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Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
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Don’t shy away from reaching out directly to firms like mgpru. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Quantitative Modelling Manager - Actuarial Modelling & Valuations Capability in London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to mgpru.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on mgpru's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at mgpru
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with mgpru.
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Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at mgpru will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former mgpru employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
