Credit risk analytics co-op student supporting Sun Life’s global financial services operations. Developing risk methodologies, reporting, model validation, and portfolio analytics.
Responsibilities
Support the development and enhancement of Earnings-at-Risk and Capital-at-Risk methodologies for credit-sensitive assets
Assist with regular and ad hoc credit risk reporting across asset classes, business groups, and enterprise portfolios
Analyze portfolio data and help maintain risk analytics infrastructure and reporting tools
Support model validation, stress testing, scenario analysis, and documentation activities
Help monitor risk limits, investigate exceptions, and track remediation activities
Prepare presentations and summaries for risk management, investment teams, and senior leaders
Research emerging topics in credit risk, including climate risk, counterparty risk, and regulatory developments
Contribute to process automation and data quality improvement initiatives
Work with investments, risk management, and actuarial teams
Requirements
Graduation date of January 2027 or later
Currently enrolled in an undergraduate degree in Actuarial Science, Mathematics, Statistics, Data Science, Economics, Finance, Business, Engineering, or a related field
Strong analytical and problem-solving skills with an interest in financial markets and risk management
Excellent communication skills with the ability to explain complex concepts clearly
Experience using Excel and familiarity with data analysis tools
Curiosity, attention to detail, and willingness to learn new concepts
Programming experience in Python, R, SQL, VBA, or similar tools is an asset but not required
Coursework or knowledge related to investments, accounting, risk management, statistics, or actuarial science is an asset
Exposure to IFRS 9, IFRS 17, Basel, LICAT, or other financial risk frameworks is preferred
Knowledge of fixed income markets, credit ratings, or portfolio analytics is preferred
Experience with Power BI or Tableau is preferred
Familiarity with financial risk software or modeling platforms is preferred
Benefits
Meaningful work
Mentorship from experienced risk professionals
Exposure to real-world credit risk management practices within a global financial services organization
High-performing candidates may be considered for an extension from four months to eight months, subject to business needs and performance
Incentive plans, with payment discretionary and subject to individual and company performance
Hybrid work flexibility from the office and virtually
Supportive, flexible, and inclusive work environment
Accommodation in the application process for persons with disabilities
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