Senior Analyst, Model Validation Expert

1 week ago

Kitchener, Ontario, Canada Sun Life Full time
About the Role

We are seeking a highly skilled Senior Analyst to join our Model Validation & Analytics team at Sun Life. As a key member of this team, you will be responsible for conducting independent validations of complex mathematical, statistical, and actuarial models used across the enterprise.

Key Responsibilities
  • Conduct thorough and independent validations of existing and new models used by Sun Life, ensuring compliance with the Model Risk Policy, standards, and guidelines.
  • Identify potential risks embedded in model design and usage, develop alternative or benchmark models as necessary for independent assessment, and provide constructive challenges and recommendations to mitigate model risk.
  • Communicate validation results to senior stakeholders and model owners, preparing a comprehensive Model Validation report detailing the validation scope, testing approach, test results, findings, and conclusions.
  • Manage stakeholder relationships to ensure Model Validation findings and recommendations are appropriately informed by business purpose and context, providing advice and guidance to model owners on model validation processes and requirements.
  • Support the Director in the optimal operation of the team, 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, and other work streams as required, to ensure that company models are in line with industry best practice.
  • Support a robust model governance framework for managing, mitigating, and controlling model risk.
Requirements
  • Strong knowledge in a quantitative discipline with a minimum of 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 of programming in VBA, Python, MATLAB, R, or C/C++.
  • Ability to work under tight deadlines and with multiple priorities.
  • Critical thinking and ability to provide effective challenge.
  • Ability to work independently and in cross-functional team settings.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills (verbal and written) with the ability to explain complex actuarial and financial concepts clearly and concisely.
Preferred Qualifications
  • Prior modeling or validation experience is an asset.
  • Combined financial and insurance risk experience is a definite asset.

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