Analyst, Credit Risk Scoring

EQ Bank | Equitable Bank

. Analyze customer, portfolio, bureau, and scorecard performance data to identify trends, opportunities, and risk signals across acquisition, account management, collections, and fraud strategies .

Posted 9/24/2026full-timeToronto • CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong analytical capabilities in data analytics and risk analytics, utilizing SQL and Python for data manipulation and insights generation. Proficient in developing scorecards, monitoring performance metrics, and collaborating with cross-functional teams in financial services.

Highest-signal resume keywords

SQL ProficiencyPython ProgrammingData Visualization ToolsStatistical ModellingAnalytical Problem-Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsRisk AnalyticsScorecard DevelopmentQuantitative AnalysisPerformance EvaluationMachine Learning ConceptsStatistical TechniquesAutomated Reporting SolutionsData Quality AssuranceAnalytical Datasets

Soft Skills

Attention to DetailEffective CommunicationAdaptabilityCuriosityInitiative

Tools & Technologies

Microsoft ExcelMicrosoft PowerPointCloud-Based Analytics PlatformsAutomated Reporting ToolsDashboards

Industry Keywords

Credit RiskFraud PreventionFinancial ServicesData QualityPortfolio Management

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Analyze customer, portfolio, bureau, and scorecard performance data to identify trends, opportunities, and risk signals across acquisition, account management, collections, and fraud strategies
Support development, monitoring, recalibration, and optimization of scorecards and alternative risk frameworks through quantitative analysis and performance evaluation
Produce recurring score monitoring reports and dashboards covering score stability, predictive power, segmentation performance, portfolio outcomes, and key risk indicators
Monitor model and scorecard performance using GINI, KS, AUC, PSI, bad rates, approval rates, and portfolio profitability measures
Investigate score performance shifts, model drift, data anomalies, and emerging portfolio trends
Develop and maintain SQL queries, analytical datasets, automated reporting solutions, and dashboards
Apply statistical techniques, machine learning concepts, and data visualization tools to generate business insights
Prepare presentations and analytical summaries for score strategy reviews, model governance forums, and management discussions
Collaborate with Credit Risk, Fraud, AML, Product, Marketing, Technology, and Model Risk Management stakeholders
Contribute to continuous improvement initiatives involving model monitoring, reporting automation, data quality, and analytical processes

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
0 to 5 years of experience in data analytics, business analytics, risk analytics, financial services, consulting, or a related quantitative 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
Successful completion of a criminal background check and credit check required for candidates considered for hire

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
Hybrid work arrangement
Barrier-free recruitment process and work environment
AI-enabled recruitment screening outputs reviewed and validated by the talent team