Property Pricing Actuary

Axis Capital

Not specified; not specified; comprehensive compet...
4+ years general insurance actuarial experience
Fellow of institute & faculty of actuaries or equivalent
First class or 2:1 degree in quantitative subject
This role offers the opportunity to join a high-performing team providing embedded support to underwriting units across Global Property and Construction

Job Summary

  • This role offers the opportunity to join a high-performing team providing embedded support to underwriting units across Global Property and Construction.
  • The successful candidate will manage end-to-end pricing and portfolio management processes while developing rating models and methods.
  • Employees are eligible for a comprehensive benefits package including medical plans, retirement plans, and tuition reimbursement.

Matching Summary

This role offers the opportunity to join a high-performing team providing embedded support to underwriting units across Global Property and Construction.

Salary

Not specified; Not specified; Comprehensive competitive benefits package including medical plans, retirement plans, and tuition reimbursement

Skills & Requirements

Must-have

  • 4+ years general insurance actuarial experience
  • Fellow of Institute & Faculty of Actuaries or equivalent
  • First class or 2:1 degree in quantitative subject
  • London Market pricing background highly desired
  • Competent user of Excel, Word, and PowerPoint

Nice-to-have

  • Experience with R or Python coding languages
  • Experience creating Power BI dashboards
  • Knowledge of AI/Machine Learning in insurance
  • Exposure to pricing model development
  • Strong track record in actuarial examinations

Key Requirements

  • 4+ years experience in general insurance actuarial role
  • Fellowship status with IFoA or equivalent professional body
  • Quantitative university degree (Mathematics, Actuarial, Engineering)
  • In-office work requirement of 3 days per week

Work Rights

Not specified

Tailored Resume

Cover Letter