Student Internship, Quantitative Credit Risk Analyst

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    "id": "55",
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      "city": "London",
      "state": "Ontario"
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    "employmentStatusLabel": "Summer Student (Full-Time)"
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    "location": {
      "city": "London",
      "state": "Ontario",
      "postalCode": "N5V 0A3",
      "addressCountry": "Canada"
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    "datePosted": "2026-04-28",
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    "description": "<p><span><span>VersaBank</span><span> is an inclusive, entrepreneurial, Schedule 1 Chartered Bank with over </span><span>$5.8 billion</span><span> in assets and </span><span>growing</span><span>. As Canada’s most innovative bank, </span><span>VersaBank</span><span> operates as a branchless financial institution that obtains its deposits and provides most of its loans and leases electronically, with innovative deposit and lending solutions for financial intermediaries that allow them to excel in their core businesses. </span></span><span> </span></p>\n<p><span> </span></p>\n<p><span><span>VersaBank’s</span><span> Common Shares trade on the Toronto Stock Exchange (“TSX”) and Nasdaq under the symbol VBNK. Our head office is in London, Ontario, with various offices </span><span>located</span><span> across Canada. For more information on </span><span>VersaBank</span><span>, please visit our website at </span></span><a href=\"https://www.versabank.com/\" target=\"_blank\" rel=\"noopener noreferrer\"><span><span>www.versabank.com</span></span></a><a href=\"https://www.versabank.com/\" target=\"_blank\" rel=\"noopener noreferrer\"><span><span>.</span></span></a><span><span> </span></span><span> </span></p>\n<p><span> </span></p>\n<p><span><span>VersaBank</span><span> is seeking a </span></span>quantitative student<span><span> for a summer position focused on developing statistical analysis to </span><span>determine</span><span> the </span><span>appropriate buffer</span><span> </span><span>required</span><span> to absorb cash-flow interruptions from </span><span>overdue </span><span>loans and leases</span><span>.</span><span> </span></span><span> </span></p>\n<p><span> </span></p>\n<p><span><span>This role is ideal for a student who enjoys applied statistics, real-world data, and </span><span>is motivated by </span><span>analytical work that </span><span>will </span><span>directly inform credit-risk decisions. </span></span><span> </span></p>\n<p><span> </span></p>\n<p><span><span>In this role, you</span><span> will analyze historical cash-flow performance from a range of lenders, </span><span>identify</span><span> the drivers of 90-day payment stoppages, and help build a statistically defensible framework for </span><span>determining</span><span> the buffer required to absorb these interruptions. </span><span>You will also be involved in </span><span>data cleaning, model development, and interpret</span><span>ing</span><span> results for senior management.</span></span><span> </span></p>\n<p><span> </span></p>\n<p><span style=\"font-weight: bold\"><span><span>Primary Responsibilities include:</span></span></span><span><span> </span></span><span><span> </span></span><span> </span></p>\n<ul>\n<li><span><span>Analyze 10-year historical </span><span>cash-flow</span><span> streams from multiple lenders.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Identify</span><span> predictors of 90-day delinquency and payment stoppages.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Develop statistical models to estimate required buffers for cash-flow interruptions.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Conduct regression, time-series, and vintage/cohort analyses.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Clean, merge, and </span><span>validate</span><span> large datasets from external sources.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Prepare clear summaries, visualizations, and recommendations for internal stakeholders.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Document </span><span>methodology</span><span> to ensure reproducibility and auditability.</span></span><span> </span></li>\n</ul>\n<p><span> </span></p>\n<p><span style=\"font-weight: bold\"><span><span>Qualifications:</span></span></span><span><span> </span></span><span><span> </span></span><span> </span></p>\n<ul>\n<li><span><span>Currently enrolled in a Statistics, </span><span>Actuarial Science, </span><span>Data Science, Economics, Finance, Mathematics, or Computer Science program.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Strong academic performance in quantitative subjects</span><span>.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Proficiency</span><span> </span><span>in </span><span>Python (pandas, NumPy, </span><span>stats</span><span> </span><span>models</span><span>, scikit-learn) or R.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Solid understanding of</span><span> r</span><span>egression analysis</span><span>, p</span><span>robability and distributions</span><span>, and t</span><span>ime-series or econometrics</span><span>.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Experience working with messy, real-world datasets.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Ability to communicate analytical findings clearly and concisely.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Exposure to survival analysis or hazard models </span><span>is </span><span>an asset.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Familiarity with credit-risk concepts (delinquency, default, recovery) </span><span>is </span><span>an asset.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Experience with data visualization tools </span><span>is </span><span>an asset.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Interest in banking, credit, or financial risk management.</span></span><span> </span></li>\n</ul>\n<p><span> </span></p>\n<p><span style=\"font-weight: bold\"><span><span>What </span><span>we offer:</span></span></span><span> </span></p>\n<ul>\n<li><span><span>Opportunity to contribute to real credit-risk decisioning at a Schedule I Canadian bank.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Direct mentorship from experienced risk and analytics professionals.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>A role where strong quantitative work has immediate practical impact.</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>A professional environment that values clarity, </span><span>rigour</span><span>, and analytical thinking.</span></span><span> </span></li>\n</ul>\n<p><span> </span></p>\n<p><span style=\"font-weight: bold\"><span><span>Application Procedure:</span></span></span><span><span> </span></span><span> </span></p>\n<p><span><span>If working for a ‘non-traditional’ bank with an entrepreneurial flair appeals to you, we encourage you to apply. </span><span>Please be advised that only</span><span> those applicants selected for an interview will be contacted.</span></span><span> </span></p>",
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