Risk Oversight Analytics

Posted 23 August 2024
Salary Up to £85000.00 per annum
LocationLondon
Job type Permanent
Discipline Risk
Reference108492
Contact NameRichard Williams

Job description

Risk Analytics Oversight Manager - Reinsurance - £75,000-£85,000

An opportunity has come to work with a leading Reinsurance firm based in London. The client have locations spread across the globe, and this role will play a role liaising with key stakeholders across the globe.

You will be working closely with the business, underwriting teams, and also business areas to help look at data, and spot trends in the way that risk is calculated across the first line. You will work with the teams to help with these trends, and identify best practise of how risk is managed to help the business work more effectively, and efficiently.

Key Responsibilities

  • To support the VP, Risk Oversight Analytics in undertaking risk oversight reviews of the business.
  • For each review, understand the topic area, research the systems, data and processes, identify further questions to answer with the help of stakeholders and present the findings.
  • Communicate findings, from high-level summaries to detailed reports (depending on need) to identify areas that are working well and proposed recommendations on what can be improved.
  • Assist the Risk Oversight function in the development of any additional data analytics or reviews they may require.

Candidate Qualifications:

  • Bachelor's degree in a numerical/statistical discipline, or the equivalent education and/or experience.
  • Experience of working in a modelling/risk or related environment.
  • Strong data, analytical and technical skills.
  • Excellent written and verbal communication skills
  • Ability to condense complex analytical findings into a concise summary
  • Ability to prepare comprehensive, well written reports.
  • Interest in gaining a deeper understanding in risk, capital modelling and validation.
  • 3-5+ years industry experience within a related or relevant role.
  • Knowledge of capital modelling principles.