Student, Credit Risk Analyst
HybridWaterloo, Ontario, Canada
Job Summary
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. This co-op opportunity offers meaningful work, mentorship from experienced risk professionals, and 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.
Required Qualifications
- 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
- Familiarity with data analysis tools
- Curiosity, attention to detail, and willingness to learn new concepts
- Graduation date of January 2027 or later
Desired Qualifications
- Programming experience in Python, R, SQL, VBA, or similar tools
- Coursework or knowledge related to investments, accounting, risk management, statistics, or actuarial science
- 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
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