Pricing Actuary

Emerald Group
Market Rate + Benefits
09 May 2019
09 Jun 2019
Contract Type
Full Time

Consultant: John Koehler


Phone Number: +44 (0)203 867 9830

Key Duties:

  • Developing and enhancing actuarial models, assumptions, pricing approaches, tools and processes owned by the pricing actuarial function
  • Generating practical business insight and value from predictive models
  • Preparing the annual pricing reviews for community-rated plans
  • Contributing in the review and implementation of customer fairness and regulatory considerations as it relates to pricing
  • Acting as actuarial resource in new product development workstreams
  • Reporting of pricing indicators and segment forecasting
  • Business planning and forecasting
  • Meeting the requirements of governance process and controls to demonstrate pricing maturity

The jobholder may also be assigned to support day-to-day delivery requirements and development activities in other actuarial pillars.

Qualifications/ Experience:

  • At least 5 years’ experience in an actuarial role, preferably with some years in pricing. The ideal candidate would have experience in most or all of these engagements:
    • Extracting and manipulating large data sets (essential)
    • Developing predictive models used in insurance such as loss frequency, severity, lapse, and conversion
    • Forecasting of premium and claim cashflows
    • Measurement and monitoring of pricing assumptions and customer behavioural metrics
    • Pricing of new insurance products
    • Developing pricing-related tools for use by other functions
  • No health insurance experience is required but the ideal candidate would need to at least have strong interest in expanding his/her knowledge of the private medical insurance business (its products, target markets, and regulatory and customer fairness considerations)
  • The ideal candidate would need to be open to learning and using only data and predictive modelling software as and when they are approved by the company, which is currently SAS/STAT and Emblem/Radar and be respectful of the constraints on modelling platforms and capabilities in place to protect customer and company data

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