Senior Risk Analyst

6 days ago

Old Toronto, Ontario, Canada Sun Life Full time
About the Role

We are seeking a highly skilled Senior Risk Analyst to join our Model Validation & Analytics team at Sun Life. As a key member of our team, you will be responsible for conducting independent validations of various models used in our organization.

Key Responsibilities
  • Conduct independent validations of existing and new models used by Sun Life in compliance with our Model Risk Policy, standards, and guidelines.
  • Identify potential risks embedded in the model design and usage, develop alternative or benchmark models as necessary for independent assessment of the model and its risk.
  • Provide constructive challenges and recommendations to mitigate the model risk in Sun Life.
  • Communicate the model validation results to senior stakeholders and model owners, prepare a Model Validation report that details the validation scope, testing approach, test results, findings, and conclusions.
  • Support the Director for the optimal operation of the team, including identifying and implementing improvements to work, processes, and systems to ensure operational effectiveness and compliance with corporate policy and governance requirements.
  • Provide advisory support to large-scale projects such as Economics Scenario Generators (ESG) modeling, economic capital modeling as required and other work streams as appropriate and requested to ensure that company's models are in line with industry best practice.
  • Support a robust model governance on managing, mitigating, and controlling model risk.
Requirements
  • Strong knowledge in a quantitative discipline with minimum 3 years' relevant work experience.
  • A master's degree or higher in a quantitative field such as mathematics, statistics, mathematical finance.
  • Demonstrated expertise with risk measures (value at risk, capital at risk, earning at risk), calibration and simulation of financial variables (stochastic modeling, Monte Carlo simulation), basic derivative valuation theory and statistical analysis.
  • Advanced knowledge on programming in VBA, Python, MATLAB, R or C/C++.
  • Prior modeling or validation experience is an asset.
  • Combined financial and insurance risk experience is a definite asset.

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