Student, Credit Risk Analyst

Sun LifeWaterloo, ON
Hybrid

About The Position

This opportunity is available to students with a graduation date of January 2027 or later. Sun Life is seeking a motivated and analytical co-op student to join the Credit Risk Methodology & Analytics team. This role provides hands-on exposure to portfolio credit risk measurement, financial risk analytics, data management, and model development. The successful candidate will support enterprise-wide credit risk monitoring and reporting, while gaining practical experience working with investments, risk management, and actuarial teams.

Requirements

  • 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.

Nice To Haves

  • 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 considered an asset.
  • Exposure to IFRS 9, IFRS 17, Basel, LICAT, or other financial risk frameworks.
  • Knowledge of fixed income markets, credit ratings, or portfolio analytics.
  • Experience with data visualization tools such as Power BI or Tableau.
  • Familiarity with financial risk software or modeling platforms.

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.

Benefits

  • Mentorship from experienced risk professionals
  • Exposure to real-world credit risk management practices within a global financial services organization.
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