Actuarial Analyst

Everywhen
Remote

About The Position

We have an exciting opportunity to join our Pricing & Actuarial team as an Actuarial Analyst, where you’ll build predictive models, deliver robust actuarial analysis, and collaborate with underwriters, claims, and business teams to ensure our specialist insurance products are competitively and accurately priced. You’ll be doing pricing projects to provide high-quality insights to senior management and insurer partners. We are experts in what we do, and our mission is to bridge the gap between brokers and specialist underwriters. As a chartered MGA with an extensive footprint and A-rated capacity, our clients enjoy uncomplicated access to niche markets and unrivalled freedom of choice and our capacity providers are provided with the support they need. We are innovation enthusiasts and currently leading innovation in Pricing & Actuarial.

Requirements

  • Strong statistical knowledge (minimum grade B at A-level Mathematics or equivalent)
  • Advanced Excel skills
  • Experience with programming (R, Python, SQL, or actuarial software is a plus)
  • Thrive in a fast-paced, responsive environment
  • Passionate about innovation in insurance pricing

Responsibilities

  • Build technically sound predictive models to identify underlying drivers of claims’ cost (GLMs, GBMs) and training will be provided on this.
  • Work directly with underwriters, claims, reserving and other business stakeholders to understand the commercial context of analysis to ensure it is accurate and valuable.
  • Build relationships, being recognised as a dependable contact for both internal and external customers.
  • Ensure that work is produced to agreed deadlines and required standards of accuracy.
  • Organising impact analyses to understand the effects of proposed modelling.
  • Finalising statements concerning the aggregation of risk for example exposure to flooding by postcode mapping.
  • Processing of data, including reconciliation, cleaning and other preparation ready for actuarial investigation.
  • Constantly develop knowledge and skills by undertaking training in line with agreed development plan including mandatory training and keep up to date with technical, legal and market developments via use of various learning materials.
  • Maintain data quality and adhere to all relevant governance when producing work.

Benefits

  • Standard benefits page
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