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Actuarial - Actuarial Analytics

Willis Re
London, GBR
Full-time
Mid
Onsite
Discovered 1 weeks ago
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Full Job Posting

About Willis Re

We combine specialist broking with analytics, modeling and research to help insurers optimize risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship-driven, transparent and outcome-focused.

At the heart of Willis Re is a focus on delivering the most cutting-edge analytical solutions to enable more informed, better decision-making for risk selection, portfolio optimization, and capital management.

The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis Re in a unique position to build a truly analytically driven business, focused on creating solutions for the reinsurance industry that are future led and forward thinking.

Willis Re will also leverage recognized technical expertise from WTW’s Insurance Consulting & Technology business including their advanced modeling and analytical capabilities. Alongside this will be WTW’s Research Network, an award-winning business supporting and influencing science to improve the understanding and quantification of risk.

Willis Re is committed to embracing a diverse, inclusive, and flexible work environment. We provide equal opportunity to all qualified individuals regardless of race, colour, religion, age, gender, gender expression, national origin, veteran status, disability, orientation, or any other legally protected categories. If you have a need that requires accommodation, please email us at [email protected]

Qualifications

  • Nearly or newly qualified Actuary (FIA, ACAS, FCAS or equivalent).
  • Experience within general insurance, reinsurance, specialty insurance or broking analytics.
  • Strong programming capability, particularly in Python.
  • Experience developing tools, models, reporting solutions or analytical applications used by business stakeholders.
  • Knowledge of SQL and experience working with large or complex data sets.
  • Understanding of pricing and portfolio analytics, including experience and exposure rating techniques.
  • Strong communication skills with the ability to explain technical concepts to non-technical audiences.
  • An innovative mindset with an interest in emerging technologies, including Generative AI.
  • Desirable Experience
  • Power BI, Tableau or similar visualisation tools.
  • Cloud platforms, APIs or application development frameworks.
  • Actuarial modelling platforms.
  • Advanced Excel skills.
  • Experience within Property, Marine, Specialty, Aviation or Cyber reinsurance.

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