Company

Swiss ReSee more

addressAddressBangalore, Karnataka
type Form of workFull Time
CategoryFinance & Accounting

Job description

As a member of our team, you will have the opportunity to grow your own expertise in risk analytics and gain profound insights into our business. You will learn how Swiss Re selects risks and how senior management considers risk adjusted performance in business decisions.

Role's description

  • Support key tasks within the Property & Casualty Team of Risk Aggregation & Analytics:
    • Provide Analysis of change commentaries on assigned P&C potentials.
    • Understand and use the models implemented for generating risk metrics.
    • Analyze model input data and run calculations for regulatory reports and quarterly deliverables.
    • Ensure timely delivery of all reports
    • Support legal entities in ad hoc requests related to the changes in risk profiles.
  • Understand Swiss Re's Internal Capital Model and take lead in Property and Casualty risk's analysis  

The role is part of the Risk Aggregation & Analytics (RAA) team and you will report into the Head RAA, Bangalore.

About You

  • 4+ years of relevant experience in re-/insurance industry preferably Property & Casualty experience.
  • Basic knowledge about solvency frameworks and regulations (e.g. Solvency II, Swiss Solvency Test)
  • Understanding of underwriting risk and/or financial market risk
  • Be able to deliver under pressure and communicate openly in case of obstacles
  • Knowledge of at least one programming language (preferable MATLAB, R or Python)
  • Team player with excellent interpersonal, writing and analytical skills
  • Actuarial papers required

Skills

  • Good communication and interpersonal skills.
  • Strong analytical skills as well as high interest in quantitative tasks.
  • Self-starter with the ability to work with multiple stakeholders in an international, multi-cultural and diverse environment.
Refer code: 934204. Swiss Re - The previous day - 2024-02-24 12:34

Swiss Re

Bangalore, Karnataka
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