Risk Analyst
Swiss Re
Bangalore, KA, IN
2d ago

About Swiss Re The Swiss Re Group is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-

based risk transfer, working to make the world more resilient. It anticipates and manages risk from natural catastrophes to climate change, from ageing populations to cybercrime.

The aim of the Swiss Re Group is to enable society to thrive and progress, creating new opportunities and solutions for its clients.

Headquartered in Zurich, Switzerland, where it was founded in 1863, the Swiss Re Group operates through a network of around 80 offices globally.

It is organised into three Business Units, each with a distinct strategy and set of objectives contributing to the Group’s overall mission.

About the Role As part of the L&H Risk Aggregation & Analytics team, you will be responsible for the production and assessment of quantitative risks that are in-

turn used for the Regulatory Solvency Reporting of various entities viz. Swiss Re Europe and Swiss Re International legall entities, using the internal model approach and other smaller entities following the standard formulae approach.

  • Ensuring accurate and timely delivery of Solvency II based reports and factsheets for SRE, SRI, SRPP, SRSI and Palatine.
  • End-to-end ownership of the Solvency II risk quantification and aggregation process under the internal risk model. This includes adherence to standards of auditability, challenge controls, make sure evidence is available in a central repository, Keep process document well updated for audit purpose, document errors / issues and suggestions to improve and stabilize the process etc.
  • End-to-end ownership of the Solvency II risk quantification and aggregation process under the standard formulae. This includes adherence to standards of auditability, challenge controls, make sure evidence is available in a central repository, Keep process document well updated for audit purpose, document errors / issues and suggestions to improve and stabilize the process etc.
  • Risk System Testing and Change request : Work on testing the new features along with Risk IT and support them on formulating and testing change requests;
  • propose improvements and new valuable analyses.

  • Provide support in the quarterly risk aggregation and quantification process for L&H. This includes writing / reviewing L&H analysis of change comments by risk category (viz.
  • mortality, lapse, longevity etc) and co-ordinating with various teams viz. Actuarial Control, LHBM for the aggregation of Risk data.

  • Presenting the results to other internal stakeholders and senior managers.
  • Involvement in projects such as those needed to meet regulatory changes or analytic requests by internal Stakeholders as necessary.
  • About the Team Group Risk Management is a risk controlling function that enables risk taking by partnering and challenging stakeholders.

    Group Risk Analytics (GRA), a team within Group Risk Management, is the global centre of competence in producing comprehensive risk and solvency assessment.

    The function has global responsibility for risk models, monitoring capital adequacy and liquidity risk, and for the overall risk governance framework.

    The Risk Aggregation & Analytics is a sub-team within GRA responsible for the quarterly solvency assessment of various entities under the Swiss, Solvency II (Internal model) and Solvency II (Standard Formulae) regimes.

    The team is instrumental is providing transparency on group risks and in quantifying and monitoring material risks. About You

  • University degree in a quantitative area (actuarial science, finance, engineering)
  • At least 3-5 years of work experience in Insurance / Reinsurance within the Life and health domain.
  • Candidate with an actuarial degree will have an advantage
  • Good communication skills, experience in a multi-cultural environment is a plus
  • Strong analytical skills as well as high interest in quantitative tasks
  • Data base know-how (SQL) and programming skills (Matlab etc) are an advantage
  • Open minded and willingness to change in a dynamic environment
  • Self-reliant, adherence to standard process requirement, team player, fast learning, innovative, showing a high degree of own initiative
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