Lead Quantitative Modelling & AI for Actuarial Valuations

mgpru

Greater London

Hybrid

GBP 85,000 - 120,000

Full time

4 days ago
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Benefits offered by this job

Pension up to 18% total contributions
Share Save/Share Incentive Plan
38 days annual leave including bank

Job summary

M&G is seeking an experienced leader in quantitative and statistical modelling within the Actuarial Modelling & Valuations Capability team in the UK. The role focuses on advancing models through advanced analytics, data science, ML and proxy modelling techniques while delivering practical, scalable solutions aligned to business priorities.

The position also requires leading a multi-skilled team of actuaries, data scientists, and technical specialists, with strong stakeholder engagement across

Qualifications

  • Strong expertise in quantitative and statistical modelling.
  • Experience with proxy modelling and advanced analytical approaches.
  • Proven ability to lead multi-skilled technical teams."
  • Understanding of data science, ML, and AI applications in modelling.
  • Good stakeholder management and ability to influence cross-functionally.

Responsibilities

  • Lead development and enhancement of quantitative/statistical models including proxy modelling.
  • Manage a multi-disciplinary team of actuaries, data scientists, and technical experts.
  • Apply data science and ML methods to build scalable modelling solutions for valuation and reporting.

Skills

Quantitative modelling
Statistical modelling
Leadership
Stakeholder engagement
Machine learning
Data science
AI in modelling
Programming & model development
Problem solving
Attention to detail

Education

Degree in mathematics/statistics/actuarial science

Tools

Python
R
SAS

Job description

M&G is seeking an experienced leader in quantitative and statistical modelling within the Actuarial Modelling & Valuations Capability team in the UK. The role focuses on advancing models through advanced analytics, data science, ML and proxy modelling techniques while delivering practical, scalable solutions aligned to business priorities.

The position also requires leading a multi-skilled team of actuaries, data scientists, and technical specialists, with strong stakeholder engagement across

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