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EQ Bank | Canada's Challenger Bank logo
EQ Bank | Canada's Challenger Bank

Posted 8 days ago

Open

Intern - Credit Risk, Winter 2027

TorontoHybrid

AI Summary

Supports the development, monitoring, validation, and optimization of credit risk and account management scorecards by analyzing customer and portfolio data, building reports and dashboards, and collaborating with cross-functional stakeholders.

About this role

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!


Work Term: January - April 2027

The Intern, Credit Risk Scoring, supports the development, monitoring, validation, and optimization of credit risk and account management scorecards across the customer lifecycle. Through the analysis of customer, portfolio, and performance data, the Intern generates insights, reporting, and recommendations that support scorecard development, risk management, model governance, and business decision-making.

The Core Responsibilities of the Job:

  • Analyze customer data to identify trends, opportunities, and emerging risks across acquisition, account management, and fraud risk strategies.
  • Develop, maintain, and enhance recurring score monitoring reports, dashboards, KPI tracking, and analytical tools to support model governance and risk oversight.
  • Support the development, recalibration, and optimization of credit risk and account management scorecards through quantitative analysis and performance evaluation.
  • Perform scorecard performance monitoring using statistical measures.
  • Assist in model validation, challenger model testing, and performance assessments under the guidance of senior team members.
  • Produce ad hoc analyses, business insights, and management presentations supporting scorecard strategy reviews and model enhancement initiatives.
  • Apply analytical techniques, statistical methods, machine learning concepts, and data visualization tools to generate actionable business insights.
  • Collaborate with stakeholders across Credit Risk, Fraud, AML, Product, Marketing, Operations, and Model Risk Management to support cross-functional initiatives.
  • Contribute to the continuous improvement of analytical methodologies, model monitoring processes, reporting automation, and decision-support tools.

    • Let's Talk About You!

  • Bachelor's degree in quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Data Science, Physics, Economics, or another STEM-related field.
  • 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.

    • Skills

    Cloud-based AnalyticsData ManipulationData VisualizationExcelKPI TrackingMachine LearningModel ValidationPowerPointPythonScorecard MonitoringSQLStatistical Modelling

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