Intern - Credit Risk

Purpose of the Job

The Credit Risk Intern will report to the Senior Manager of Credit Risk and work closely with Credit Risk Analysts, Associates, and Managers. While this role does not carry decision making authority, the intern is accountable for producing accurate analysis, maintaining data integrity, and adhering to internal risk management and governance standards.

The work supported by this role contributes to understanding transaction-level and portfolio risk and supporting sound credit risk management practices across the Bank.

The Credit Risk Intern will support operational and transformation initiatives within the Credit Risk department, primarily:

• Assist in the automation (through AI) of IFRS 9 controls/checks for audit purposes and
• Assisting other Credit Risk teams (e.g. Retail Lending Quality Assurance) with the enablement of Artificial Intelligence (“AI”) tools in select functions.

The ideal candidate has a strong interest in process improvement and technology with a desire for exposure to a business/finance/risk environment.

Electronic Document Organization and Solutioning

Electronic document organization (leveraging technology when possible)

Support solutioning for electronic document organization and automation

Assist with process improvements and procedures as well as documentation of such.

AI Enablement & Process Support

Support Credit Risk teams with the setup and adoption of AI tools within select functions, including organizing inputs, testing use cases, and documenting outputs.

Assist with identifying opportunities where AI tools can improve efficiency, documentation, or analysis within Credit Risk processes.

Support basic experimentation and learning related to AI-enabled workflows under guidance from Risk and Data partners.

Assist with process improvements and procedures as well as documentation of such.

Currently pursuing a Bachelor’s or Master degree in Management Information Systems (Library and Information Science), Systems Engineering, Computer Science, or a related field.

3M to 1 yr of exposure to Microsoft SharePoint and Microsoft PowerShell, Microsoft Power Automate, Python, and/or SQL.

Strong problem-solving skills and ability to think systematically in developing technological and process solutions.

Proficiency with Microsoft Outlook and experience utilizing AI for organization and automation

Strong attention to detail.

Strong organizational skills with the ability to manage multiple tasks and deadlines.

Clear written and verbal communication skills.