• 36562
  • Life - Actuarial
  • |
  • Ontario, Canada
  • |
  • Jan 10, 2020
  • Can independently validate the models with minor supervision. Develop work plans that prioritize business needs of all partners, establish project deliverables and timelines. Negotiate project prioritization and timelines with business clients. Exercise judgment in identifying issues, modifying plans as demands change, assessing courses of action, and developing recommendations.
  • Provide quantitative support to business areas, and senior management.
  • Keep informed of current practices and research in financial and statistical modelling and risk management by reading academic literature, attending academic and practitioner workshops and conferences.
  • Ensure that business partners understand that the model submission process involves preparing adequate model documentation to enable an appropriate model review as part of their obligations under the Model Risk Policy.
  • Assess potential model risks as they relate to embedded assumptions and target applications. This involves receiving the model specifications and intended results from the developer and ensuring that the mathematical/statistical theory is sound and that the intended result that the developer has indicated will actually be achieved.
  • Develop benchmark models to validate core analytics of submitted models.
  • Communicate effectively in the form of Model Validation reports, memos and presentations to risk management and businesses regarding the validity and potential risks associated with models/methodologies under review. Identify model limitations/risks, assess associated risk controls and processes. Stipulate permitted model usage with associated rationale.
  • Ensure that proper and adequate model documentation and model risk mitigation processes are in place in order to appropriately assess and mitigate model risk.
  • Participate in ad-hoc projects.
  • An extensive experience in financial and statistical modelling and application development with quantitative educational background.
  • 3~5+ years’ experience in Financial Mathematic and/or Statistical modelling and strong experience in stochastic modelling techniques as well as other numerical techniques.
  • An expert understanding of statistics econometrics, stochastic calculus, and measure theoretic probability.
  • Strong background in quantitative modeling of equity, fixed income, alternative investment for valuation and risk computation. Exposure to actuarial models a plus.
  • Programming experience in VBA, C++, SQL, Python, and MATLAB.
  • Excellent analytic and problem-solving skills.
  • Excellent communication and documentation skills.
  • Strong organizational and team building skills.
  • Ability to build strong working relationships with various business areas, and other departments across the company.