Intern, Credit Risk

EQ Bank | Equitable Bank

. Report to the Senior Manager of Credit Risk and work closely with Credit Risk Analysts, Associates, and Managers .

Posted 9/15/2026internshipToronto • CanadaEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong analytical capabilities and technical proficiency in SQL and Python to analyze large datasets, produce actionable insights, and support credit risk management practices. Proficient in data visualization and statistical modeling, with a commitment to data quality and effective communication across technical and non-technical stakeholders.

Highest-signal resume keywords

SQL ProficiencyPython ProgrammingData VisualizationStatistical AnalysisCredit Risk Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical ModelingMachine LearningKPI TrackingScorecard DevelopmentPerformance MonitoringData IntegrityQuantitative AnalysisAutomation TechniquesAnalytical Tools

Soft Skills

Attention to DetailProblem-SolvingEffective CommunicationAdaptabilityCuriosity

Tools & Technologies

Data Visualization ToolsCloud-Based Analytics PlatformsMicrosoft ExcelMicrosoft PowerPoint

Industry Keywords

Credit RiskFraud PreventionFinancial Services AnalyticsIFRS 9Risk Management

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Report to the Senior Manager of Credit Risk and work closely with Credit Risk Analysts, Associates, and Managers
Produce accurate analysis, maintain data integrity, and adhere to internal risk management and governance standards
Support understanding of transaction-level and portfolio risk and sound credit risk management practices
Assist in automating IFRS 9 controls/checks through AI for audit purposes
Assist Credit Risk teams, including Retail Lending Quality Assurance, with enabling AI tools in select functions
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
Support 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 senior team guidance
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
Contribute to continuous improvement of analytical methodologies, model monitoring processes, reporting automation, and decision-support tools

Requirements

What you’ll need

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 willingness to develop expertise in credit risk, fraud prevention, customer acquisition, and financial services analytics
All candidates considered for hire must successfully complete a criminal background check and credit check

Benefits

Comp & perks

Competitive discretionary bonus
Market leading RRSP match program
Medical, dental, vision, life, and disability benefits
Employee Share Purchase Plan
Maternity/Parental top-up while you care for your little one
Generous vacation policy and personal days
Virtual events to connect with your fellow colleagues
Professional development and comprehensive Career Development program
Fulfilling opportunity to join one of the top FinTechs and help create a new kind of banking experience