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Lead Pricing Analyst – Strategic – 29132

Emerald Group Ltd

London

On-site

NOK 800,000 - 1,000,000

Full time

13 days ago

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Job summary

A leading insurance firm in Innlandet is seeking a candidate skilled in predictive modelling and data integrity. The role involves developing and validating cutting-edge models, ensuring data accuracy, and delivering strategic pricing analyses to stakeholders. A degree in Statistics, Mathematics, or Actuarial Science is required, alongside proficiency in statistical tools like SAS, R, and Python, and experience with predictive modelling tools like Emblem and Radar.

Qualifications

  • Degree in Statistics, Mathematics, or Actuarial Science.
  • Proven experience in a data-rich analytical environment within insurance.
  • Proficiency in statistical tools and programming languages.

Responsibilities

  • Lead the development and validation of predictive models.
  • Ensure the accuracy and relevance of data used in modelling.
  • Deliver insightful pricing analyses to senior stakeholders.
  • Build and maintain intuitive dashboards.

Skills

Predictive Modelling
Data Integrity
Statistical tools
SAS
R
Python

Education

Degree in Statistics, Mathematics, or Actuarial Science

Tools

Emblem
Radar
Job description
Overview
Key Duties (Including but not limited to)
  • Predictive Modelling : Lead the development and validation of cutting‑edge models, including machine learning, to support risk pricing decisions
  • Data Integrity : Ensure the accuracy and relevance of data used in modelling, pricing, and performance monitoring
  • Strategic Pricing Analysis : Deliver insightful pricing analyses and present compelling options to senior stakeholders
  • Dashboard Creation : Build and maintain intuitive dashboards that support business decision‑making
Qualifications required
  • A degree in Statistics, Mathematics, Actuarial Science
Experience required
  • Proven experience in a data‑rich, analytical environment within insurance
  • Proficiency in statistical tools and programming languages (SAS, R, Python)
  • Hands‑on experience with predictive modelling tools like Emblem and Radar
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