Capital Actuary: Internal Model & Risk Analytics

PiC; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Private medical insurance

28 days' annual leave

Generous pension scheme

Job summary

Pension Insurance Corporation (PIC) is seeking a Capital Actuary to shape and enhance the Internal Model underpinning the company’s regulatory capital framework. You will contribute to credit risk modelling, risk analytics and the capital framework within PIC’s Finance Department.

The role focuses on developing and maintaining capital models, proxy models, and risk insights, with collaboration across teams. Relevant actuarial qualifications and strong programming skills are desirable.

Qualifications

• Experience in life office or consultancy
• Experience developing capital models and processes
• Experience working on proxy models desirable
• Line management desirable
• Fellow of the Institute and Faculty of Actuaries or other relevant qualification such as FRM desirable

Responsibilities

• Own and maintain the Internal Model risk modules, ensuring robustness and regulatory alignment
• Enhance the PIC capital strategy with focus on market risk
• Develop quantitative techniques for model improvement
• Support analysis, reporting and stakeholder communication of model performance
• Mentor team members and collaborate across the Finance Department

Skills

Quantitative modelling

Stakeholder management

Python

R

MATLAB

Communication

Education

Fellow of the Institute and Faculty of Actuaries (or FRM)

Other actuarial qualification

Tools

Python

R

MATLAB

Job description

Pension Insurance Corporation (PIC) is seeking a Capital Actuary to shape and enhance the Internal Model underpinning the company’s regulatory capital framework. You will contribute to credit risk modelling, risk analytics and the capital framework within PIC’s Finance Department.

The role focuses on developing and maintaining capital models, proxy models, and risk insights, with collaboration across teams. Relevant actuarial qualifications and strong programming skills are desirable.