Senior Actuary, Model Validation & Risk Oversight

Internationalinsuranceprofessionals; Stirling; Hybrid; GBP 65,000 - 95,000; Full time

Benefits offered by this job

Pension scheme up to 18%

Share Save and Share Incentive Plan

38 days annual leave with purchase

Time Off When You Need It

Private Healthcare

Life Assurance

Parental leave support

Job summary

M&G plc in the United Kingdom is seeking a Manager/Expert to lead independent validation of capital, pricing and valuation models. You will interpret results, challenge assumptions and present papers to senior committees while supporting improvements to the risk framework.

You will collaborate with teams across the Life and Asset Management segments, ensuring regulatory compliance and clear communication with the PRA. Experience in Python, Power BI or R is desirable.

Qualifications

• Experience in actuarial and statistical modelling.
• Experience in model risk and governance.
• Experience providing constructive challenge and oversight of technical matters.
• Experience in risk guidance and compliance environments.

Responsibilities

• Provide independent validation of models across the group, summarise results for committees and stakeholders.
• Collaborate with colleagues to broaden coverage of model development risks and risk framework improvements.
• Support reporting to PRA and ensure Solvency UK compliance activities are addressed.

Skills

Model validation

Model risk

Statistical modelling

Regulatory knowledge

Analytical skills

Python

Power BI

R

Education

Qualified Actuary or CFA (desirable)

Tools

Power BI

Python

R

Job description

M&G plc in the United Kingdom is seeking a Manager/Expert to lead independent validation of capital, pricing and valuation models. You will interpret results, challenge assumptions and present papers to senior committees while supporting improvements to the risk framework.

You will collaborate with teams across the Life and Asset Management segments, ensuring regulatory compliance and clear communication with the PRA. Experience in Python, Power BI or R is desirable.