Actuarial Analyst

  • 33320
  • Non-Life - Actuarial
  • |
  • Bahrain
  • |
  • Feb 13, 2018
Reinsurance
RESPONSIBILITIES
  • Day to day activities will include but not limited to.
  • Solvency II Work.
  • Prepare the Financial Reporting templates for review.
  • Support with the contribution in the quantification of capital requirements.
  • Undertake SII stress tests.
  • Contribute to quarterly Dry run of Standard Solvency 2 Model.
  • Support in the MCR and SCR Calculations.
  • Undertake Data preparation and validation
  • Undertake Model calibration.
  • Support in ORSA Calculation and Report.
  • Stochastic Model Work Focus.
  • Prepare data and undertakes model calibration.
  • Contribute to assumptions / parameters validation and calibration.
  • Support Annual Model Update.
  • Support quarterly asset module update and manage related ALM process.
  • Support and contribute in mid-year reinsurance module update.
  • Support and contribute to mid- year CAT module update.
  • Support and contribute in Dry Runs.
  • Use of model on what if analysis.
  • Support and contribute in other risk-return analysis.
  • Prepare data for the Risk Capital Model Report.
  • Utilizing Rating Models.
  • Support and contribute in quarterly Dry runs of AM Best and S&P Models.
  • Contribute in the preparation of AM Best Risk Capital Reports.
  • Contribute in the preparation of S&P Risk Capital Reports.
  • Contribute in scenario and stress testing and reporting.
QUALIFICATIONS
  • Bachelor’s degree with a focus on Statistics, Mathematics, Actuarial Science, Finance or Business.
  • Have at least 3 years of experience within capital modeling.
  • Be confident in activities including stochastic models to optimize business decision, model validation and parameterization.
  • Report writing will be second to none and be a confident communicator with stakeholders both internally and externally.
  • Have an excellent attention to detail and a good working knowledge of ResQ, Tyche or similar capital modeling tools.
  • Be familiar with spreadsheets, databases, statistical analysis programs and programming languages (R/SQL).