At Sun Life, we’re driven by our Purpose: helping our  Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful.  

Our student and new graduate programs offer a chance to explore Sun Life from the inside. You’ll make a difference in the lives of our customers and communities, while building the skills and experience that allow you to grow in a meaningful and rewarding way.

Job Description:

This opportunity is available to students with a graduation date of January 2027 or later

About the Role

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.

What You Will Do

• 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.

What You Bring

• 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 considered an asset.

Preferred Assets

• 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.

Why Join Sun Life?

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, subject to business needs and performance.

The Base Pay range is for the primary location for which the job is posted for. The Base Pay which you will be considered for will vary depending on the Campus program you are selected for.

Eligible Sun Life employees for various Campus Graduate programs will also participate in various incentive plans, payment under which is discretionary and subject to individual and company performance

Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our Clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

Persons with disabilities who need accommodation in the application process, or those needing job postings in an alternative format, may e-mail a request to [email protected].

We are proud to be a hybrid organization that offers our employees the choice and flexibility to work from both the office and virtually based on the needs of the business, our Clients and you.

We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.

We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

Job Category:

Temporary Employee

Posting End Date:

21/08/2026