Catastrophe Risk Analyst - Natural Hazards Research

vavemga

Greater London

Sur place

GBP 70 000 - 110 000

Plein temps

14 jours+

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Résumé du poste

Canopius, a Lloyd’s syndicate, is seeking a Catastrophe Risk Analyst to join its Natural Hazards Research efforts in London. You will help develop and maintain analytics across classes of business, with close collaboration to the Exposure Management team and underwriting to prioritise Natural Hazard initiatives.

The role requires strong cat modelling knowledge, numerical/statistical expertise, and data-driven decision making.

Qualifications

  • Experience in Cat Modelling role – insurance experience and RMS/Risk Modeler experience is required
  • Highly numerical and strong mathematical/statistical knowledge
  • Excellent business communication skills – ability to influence, negotiate, and listen
  • Experience in model validation and view of risk work is highly desirable.
  • Ability to manipulate large data sets with strong Excel and SQL skills.
  • Strong experience using Microsoft Power BI for analytic is desirable
  • Familiarity with another programming language such as VBA, .NET, R, Python

Responsabilités

  • Drive improvements to view of risk (VoR) across classes of business with Analytics & Research and exposure management teams.
  • Collaborate with exposure management, claims and other areas to gather data informing VoR improvements.
  • Conduct selection and validation of new catastrophe vendor models and integrate into VoR and processes.
  • Develop research agenda delivering commercial value, in partnership with underwriting on Natural Hazard priorities.
  • Develop and maintain event response processes and communicate event impacts to the wider business.
  • Develop in-house exposure management approaches for perils not covered by catastrophe models.
  • Ensure compliance with Lloyd’s Principals and internal controls for research and VoR.

Connaissances

Cat Modelling experience
Numerical/statistical skills
Business communication
Model validation experience
Data manipulation (Excel/SQL)
Power BI analytics
Programming languages (VBA/.NET/R/PY)

Outils

Excel
SQL
Power BI
VBA
.NET
R
Python

Description du poste

Catastrophe Risk Analyst - Natural Hazards Research

London, United Kingdom

Job Description
The Role

An exciting opportunity for a Catastrophe Risk Analyst to join a leading Exposure Management team at one of Lloyd’s largest syndicates. The successful candidate will be helping to develop and maintain cutting edge analytics across all classes of business. This is an excellent opportunity for a candidate looking to have a material impact at a top Lloyds’ syndicate and global (re)insurer.

The role requires strong knowledge of cat models and cat processes as well as a solid understanding of the commercial insurance business. As an analyst, the successful candidate will enjoy a close working relationship with the wider Exposure Management team and have a real opportunity to meaningfully influence the cat portfolio management process and risk selection.

Key Responsibilities
  • Working with the Analytics & Research and wider exposure management team to drive improvements to view of risk (VoR) across classes of business.
  • Work with exposure management team, claims and other areas of the business to collect data to help inform VoR improvements.
  • Conduct selection and validation of new Catastrophe vendor models and products, incorporating them into Canopius VoR and processes.
  • Develop research agenda that delivers commercial value to Canopius, working closely with underwriting to assess priorities for Natural Hazard classes.
  • Work with wider exposure management team to develop and maintain event response processes and to communicate event impacts to wider business.
  • Develop in-house approaches to exposure management for perils/risks not covered by catastrophe models.
  • Ensure Canopius meets requirements on research and view of risk for both Lloyd’s Principals and internal controls.
Skills and Experience
  • Experience in a Cat Modelling role – insurance experience and RMS/Risk Modeler experience is required
  • Highly numerical and strong mathematical/statistical knowledge
  • Excellent business communication skills – ability to influence, negotiate, and listen
  • Experience in model validation and view of risk work is highly desirable.
  • Ability to manipulate large data sets with strong Excel and SQL skills.
  • Strong experience using Microsoft Power BI for analytic is desirable
  • Familiarity with another programming language such as VBA, .NET, R, Python
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