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Added 1 min ago
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EQ Bank

Analyst, Credit Risk Scoring

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 24, 2026
Experience: 0 to 5 years of experience in data analytics, business analytics, risk analytics, financial services, consulting, or a related quantitative field.
Posting language: English
Posted: Sep 24, 2026

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Original 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 Work

The Analyst, Credit Risk Scoring supports the development, monitoring, validation, and optimization of credit risk, fraud, and account management scorecards used throughout the customer lifecycle. Through portfolio analytics, model performance monitoring, customer segmentation, and statistical analysis, the analyst helps generate insights and recommendations that support scorecard strategy, model governance, risk management, and business decision-making. The role provides exposure to predictive analytics, credit scoring methodologies, machine learning concepts, and decision science within a regulated financial services environment.

The Core Responsibilities

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

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.
0 to 5 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.

What we offer [For full-time permanent roles]

💰 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

💛 A fulfilling opportunity to join one of the top FinTechs and help create a new kind of banking experience

The incumbent will be working hybrid and in office time will be spent working from EQ Bank’s additional office space located at 2200-25 Ontario Street, Toronto, ON.

Equity, Diversity & Inclusion

EQ is committed to building an inclusive, accessible environment where every employee feels valued, respected, and supported. We believe our organization is stronger - and our people thrive - when we honour and celebrate diverse experiences, identities, and perspectives. We’re equally committed to supporting your growth, both professionally and personally.

We provide a barrier‑free recruitment process and work environment. If you require accommodations at any stage, we will work with you to ensure you can bring your best self to the process and beyond.

As part of our recruitment process, EQ uses AI to help screen, assess, and/or select applicants for this position. All AI-enabled outputs are reviewed and validated by our talent team. All candidates considered for hire must successfully complete a criminal background check and credit check. While we appreciate every application, an EQ recruiter will contact only those whose skills and experience most closely match the requirements of the role.

EQB Inc. (TSX: EQB) is the parent company of Equitable Bank, the country's seventh-largest Schedule I bank by assets, which operates EQ Bank, Canada's Challenger Bank™. EQB Inc. serves nearly 4 million Canadians and manages approximately $150 billion in combined assets under management and administration.

To learn more, visit eqb.investorroom.com and eqbank.ca.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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More about this job

Responsibilities

Analyze customer, portfolio, bureau, and scorecard data to monitor risk trends and support the development, validation, recalibration, and optimization of credit, fraud, and account management scorecards. Build analytical datasets, SQL queries, reports, and dashboards, and communicate findings to support score strategy, model governance, and business decisions.

Requirements

A bachelor’s degree in a quantitative or STEM-related discipline is required, along with 0–5 years of relevant analytical experience; new graduates are encouraged to apply. Candidates should have strong SQL and Python skills, analytical and communication abilities, attention to data quality, and proficiency with Excel and PowerPoint; visualization, cloud analytics, machine learning, or statistical modeling experience is an asset.

Skills

SQL
Python
Credit Risk Analytics
Credit Scoring
Statistical Analysis
Machine Learning
Predictive Analytics
Data Visualization
Portfolio Analytics
Model Performance Monitoring
Scorecard Development
Data Quality
Dashboard Development
Microsoft Excel
Microsoft PowerPoint
Communication

Benefits

Discretionary Bonus
RRSP Matching
Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Benefits
Employee Share Purchase Plan
Maternity and Parental Leave Top-Up
Vacation
Personal Days
Virtual Events
Professional Development
Career Development Program

Visa sponsorship

Not detected in the job text

Keywords

SQL
Python
Credit Risk
Credit Scoring
Scorecards
Fraud Risk
Account Management
Portfolio Analytics
Predictive Analytics
Statistical Analysis
Machine Learning
Model Validation
Model Governance
Model Drift
GINI
KS
AUC
PSI
Customer Segmentation
Data Visualization
Dashboards
Automated Reporting
Data Quality
Microsoft Excel
Microsoft PowerPoint
Financial Services
Risk Management
Collections
AML
Cloud Analytics

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