Inactive

Equitable Bank

Offers personal and commercial banking services

Credit Risk Intern

Data Management +1Posted on Apr 27

Internship · Summer 2026Toronto, ON, CanadaNo salary listedHybrid

Bachelor’s or Master degree in Management Information Systems (Library and Information Science), Systems Engineering, Computer Science, or a related field.
3 months to 1 year 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.

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.
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.

Purpose of the Role

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

electronic document organization (and solutioning) efforts leveraging technology when possible within the Commercial Real Estate Special Accounts Management Unit (which manages defaulted loans);
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.

Offers personal and commercial banking services

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