Analyze customer and portfolio data to support credit risk scorecard development, monitoring, validation, and optimization, producing insights and reporting that inform risk management and business decisions.
Intern - Credit Risk, Winter 2027
📜 Description
- Analyze customer, portfolio, and operational data to identify trends, opportunities, and emerging credit and fraud risks.
- Develop and maintain management reports, dashboards, KPI monitoring, and analytical tools.
- Evaluate adjudication strategy performance and support strategy changes through quantitative analysis, testing, and monitoring.
- Analyze customer behaviour, application outcomes, fraud trends, approval rates, losses, and operational effectiveness.
- Prepare ad hoc research and analysis for strategic initiatives, business cases, forecasting, and presentations.
- Collaborate across Credit Risk, Fraud, AML, Product, Marketing, and Operations; improve data assets and reporting processes.
🛠️ Requirements
- Bachelor's degree in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Data Science, Physics, Economics, or another STEM-related field.
- 0 to 2 years of experience in data analytics, business analytics, risk analytics, financial services, consulting, or a related quantitative field. New graduates with strong technical and analytical capabilities are encouraged to apply.
- Strong technical proficiency in SQL and Python, with demonstrated ability to manipulate, analyze, and interpret large datasets.
- Strong analytical and problem-solving skills with the ability to translate data into meaningful insights and recommendations.
- Excellent attention to detail and commitment to data quality and accuracy.
- Effective written and verbal communication skills, with the ability to explain analytical findings to both technical and non-technical audiences.
- Demonstrated ability to learn quickly, adapt to changing priorities, and work effectively in a fast-paced environment.
- Experience with data visualization tools, cloud-based analytics platforms, machine learning, or statistical modelling is considered an asset.
- Strong Microsoft Office skills, particularly Excel and PowerPoint.
- Curiosity, initiative, and a willingness to develop expertise in credit risk, fraud prevention, customer acquisition, and financial services analytics.
✨ Benefits
- Competitive discretionary bonus
- Market-leading RRSP match program
- Medical benefits
- Dental benefits
- Vision benefits
- Life insurance
- Disability benefits
Full job description
Join a Challenger
At EQ, we're remaking banking so every Canadian gets ahead, every day. Serving nearly 4 million Canadians from coast to coast, we offer a wide variety of financial services from banking and lending, to trust and credit union solutions.
We've been at this since 1970, challenging the conventions of traditional banking with smarter, faster, and more connected financial experiences.
What's kept us moving? The people behind it all: challengers who ask better questions, push back on old assumptions, and look for a better way forward.
If you're driven to help reshape how banking works for Canadians and the businesses that power our economy, this could be your next big opportunity.
We can’t wait to get to know you!
The Core Responsibilities of the Job
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