Quantitative Modelling Manager - Actuarial Modelling & Valuations Capability

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

• 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 you the flexibility - to balance work and personal commitments.
• Our market-leading Inspiring Families policy includes comprehensive support and paid parental leave covering maternity, adoption, surrogacy, and paternity leave - because supporting families is an important part of our inclusive culture.
• Health & Protection cover includes Private Healthcare, Critical Illness cover and Life Assurance for you, with additional family options - for peace of mind.

To explore more about life at M&G and our full benefits offering, visit Life at M&G .

At M&G we strive to have a diverse workforce and an inclusive culture, underpinned by our policies and employee-led networks that offer networking, support and development opportunities for the diverse communities our colleagues represent. We welcome applications from people of all backgrounds – across gender, ethnicity, age, disability, sexual orientation and more – including neurodivergent individuals, career returners and those with military service experience.

M&G is proud to be Level 3: Disability Confident Leader under the UK Government Disability Confident employer scheme, and we welcome applications from candidates with disabilities and long-term health conditions. If you would like to participate in the initiative, you will have the opportunity to indicate this on your application.

We are committed to providing an inclusive recruitment process. All candidates have the opportunity to request reasonable adjustments when applying. If you need any additional support at any stage, please contact us at:

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