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Added 6 mins ago
CG
Manager, Risk Modelling
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Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
…candidate will develop, maintain, and help implement effective quantitative models and analytics that will help guide prudent growth for Canada Guaranty’s mortgage insurance…
Added 6 mins ago
M
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Toronto, ON · Greater Toronto Area, Canada
- $93,798 to $127,484 USD / year
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Added 21 mins ago
Systems Developer, PAAS / Développeur de systèmes, PAAS
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UW
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United Way Greater Toronto
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Added 2 hours ago
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Investment Development Program
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Added 3 hours ago
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United Way Greater Toronto
Toronto, ON
- $75,000 to $85,000 CAD / year
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Added 3 hours ago
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EQ Bank

Analyst, Credit Risk (18 Month Contract)

Toronto, ON, Canada

Contract

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Applications open in a new tab.

Job details

Job type: Contract
Apply by: Oct 31, 2026
Experience: 0 to 2 years of experience in data analytics, business analytics, risk analytics, financial services, consulting, or a related quantitative field.
Posting language: English
Posted: Oct 1, 2026

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 Acquisitions supports the development, monitoring, and optimization of adjudication strategies across credit risk and fraud prevention. Through the analysis of customer, operational, and portfolio data, the Analyst generates insights, reporting, and recommendations that support strategy development, risk management, and business decision-making.

Core Responsiblities

Analyze portfolio, operational, and customer data to identify trends, opportunities, and emerging risks across credit adjudication and fraud prevention
Develop, maintain, and enhance recurring management reporting, dashboards, KPI monitoring, and analytical tools to support risk governance and strategic decision-making.
Support the development and optimization of adjudication strategies by conducting quantitative analysis, monitoring performance, and evaluating potential improvements under the guidance of senior team members.
Perform data analysis and segmentation to evaluate customer behaviour, application outcomes, fraud trends, approval rates, loss performance, and operational effectiveness.
Assist in the design, testing, validation, and monitoring of adjudication strategy changes and enhancements within decisioning systems.
Produce ad hoc analysis and research to support strategic initiatives, business cases, forecasting activities, and management presentations.
Apply analytical techniques, statistical methods, and data visualization tools to generate actionable business insights.
Collaborate with partners across Credit Risk, Fraud, AML, Product, Marketing, and Operations to understand business requirements and support cross-functional initiatives.
Contribute to the continuous improvement of data assets, reporting processes, analytical methodologies, and decision-support tools.

Let's Talk About You

Bachelor's degree in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Data Science, Physics, Economics, or another STEM-related field.
0 to 2 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, operational, and portfolio data to identify trends, risks, and opportunities across credit adjudication and fraud prevention, and develop reporting and analytical insights for decision-making. Support the development, testing, monitoring, and optimization of adjudication strategies while collaborating with cross-functional teams and improving data and reporting processes.

Requirements

A bachelor’s degree in a quantitative or STEM-related discipline is required, along with 0–2 years of relevant experience; new graduates with strong analytical and technical capabilities are encouraged to apply. Candidates should be proficient in SQL and Python, able to interpret large datasets and communicate findings, and have strong attention to detail; experience with visualization, cloud analytics, machine learning, or statistical modeling is an asset.

Skills

SQL
Python
Data Analysis
Credit Risk Analytics
Fraud Prevention
Statistical Methods
Data Visualization
Portfolio Analysis
Adjudication Strategy
Dashboard and KPI Reporting
Data Segmentation
Decisioning Systems
Microsoft Excel
Microsoft PowerPoint
Communication
Problem-Solving

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Credit Risk
Fraud Prevention
Credit Adjudication
Customer Acquisition
SQL
Python
Data Analytics
Business Analytics
Risk Analytics
Portfolio Data
Customer Data
Operational Data
Management Reporting
Dashboards
KPI Monitoring
Quantitative Analysis
Statistical Methods
Data Visualization
Data Segmentation
Decisioning Systems
Strategy Testing
Strategy Validation
Machine Learning
Statistical Modeling
Cloud Analytics Platforms
Microsoft Excel
Microsoft PowerPoint
Financial Services
AML
Forecasting

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