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Added 7 mins ago
WC
(CAN) Customer Service Manager
Walmart Canada
Fredericton, NB
- $15 CAD / hour
- Full-time
Position Summary...Working as a Customer Service Manager at Walmart Canada is a great opportunity to build strong leadership and operational skills in a fast paced retail environment. In…
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C5
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goeasy Ltd.

Collections Strategy Analyst (Analytics)

Mississauga, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 1, 2026
Posting language: English
Posted: Oct 2, 2026

Original job description

Join one of Canada’s fastest-growing companies and be part of something extraordinary – welcome to goeasy! At goeasy, our people and culture are at the heart of everything we do, and we’re proud to be recognized for it. We’ve earned prestigious accolades such as Waterstone Canada’s Most Admired Corporate Cultures, Canada’s Top Growing Companies, and the TSX30, highlighting us as one of the top performers on the TSX. We’re also honoured to be named a Greater Toronto Top Employer and recognized by Great Place to Work® as having the Best Workplaces for Women & Most Trusted Executive Teams, and included on TIME Magazine’s 2025 list of Canada’s Best Companies.  These honours reflect our commitment to fostering an inclusive, high-performance culture where talent thrives and innovation drives us forward.

As one of Canada’s leading alternative consumer lenders, we’re passionate about helping everyday Canadians create a brighter future. Our vision is to provide a path to a better tomorrow, today. We offer a full range of products, including non-prime leasing, unsecured and secured loans, and point-of-sale financing through easyhome, easyfinancial, and LendCare.

If you're seeking an exciting, high-growth environment where your contributions truly matter, we want to hear from you! Join us, and together, let's create a future of financial empowerment.

If you love solving complex problems with data, this role is for you. As a Collections Strategy Analyst, you'll turn numbers into insights and insights into action. From developing risk models and identifying emerging trends to optimizing collections strategies and forecasting portfolio performance, you'll use data to influence key business decisions. You'll collaborate with cross-functional partners, challenge conventional thinking, and help drive better outcomes through analytical rigor, strategic thinking, and a passion for continuous improvement.

What will you be doing?

Data mining, Modelling and Analysis:

Translate complex data into clear, compelling stories and recommendations that drive business action and measurable results.
Assist leadership by supporting the development of risk models for the purposes of collections strategy.
Perform analysis leading to collections strategy optimization, including but not limited to customer risk segmentation development.
Partner with Operations, Data, and Technology teams to solve business challenges and deliver data-driven solutions.
Present insights, findings, and recommendations to stakeholders across the organization with clarity and confidence.
Support strategic initiatives through analysis, problem solving, performance measurement, and data-driven decision making.
Build strong relationships with stakeholders and serve as a trusted partner in leveraging data to achieve business objectives

Forecasting and Reporting:

Monitor and maintain a comprehensive set of reports to identify delinquency, charge off, and cash collection performance and trends at the vintage and segment levels. Apply observations to loss forecasting models to capture current trends and communicate to leadership to identify risks and opportunities to the forecast.
Conduct sensitivity and scenario analyses to understand the impact of exogenous factors, policy and operational changes on delinquency and charge off levels.
Build and maintain dashboards, reports, and visualizations that enable leaders to make informed decisions quickly and effectively.

What experience do you have?

Bachelor's degree in Business, Economics, Mathematics, Statistics, Engineering, Computer Science, or a related quantitative discipline (an advanced degree is desired).
Possess a strong knowledge of quantitative methodologies, risk models, and tools.
Demonstrate strong technical knowledge of statistical analysis and modeling techniques.
Exhibit superior analytical skills – the ability to understand complex business problems, detect trends, and analyze data to develop solutions.
Understand data extraction/mining/modeling tools, including SQL; SAS knowledge.
Advanced Excel skills and experience working with large datasets.
Communicate complex information and concepts in understandable terms, tailoring messages and content to the intended audience.
Ability to adapt to an evolving environment with shifting priorities and the capacity to handle multiple competing demands within tight timelines.
Experience building dashboards, performance reporting, and data visualizations that support business decision making.

We offer a Flexible Work Program that provides you the ability to work three days onsite per week, from our Mississauga office.

Internal Applicants: please apply through the link and provide written endorsement from your current manager.

$70,125.00 – $82,500.00 CAD (includes base salary and bonus)

We’re committed to attracting and rewarding top talent. Our compensation ranges are thoughtfully designed to reflect market competitiveness, internal equity, and the experience and impact each candidate brings to the role.

At goeasy, we believe transparency fosters trust - and that rewarding performance with fair, competitive pay and meaningful growth opportunities is key to our success.

Should your total compensation expectations fall above the posted range, we still encourage you to apply. If selected for an interview, you’ll have the opportunity to discuss this with our recruitment team, as there may be flexibility based on your background and overall fit. Total compensation includes base salary and bonus.

This posting is for an existing vacancy within our team.

Why should you work for goeasy?

Financial Benefits

In keeping with our mission to create better tomorrows for our employees, each year goeasy commits to continuously enhancing its total rewards. Here are some of the perks we offer:

RRSP matching and Employee Share Purchase Plan programs.
Annual bonus that rewards your hard work and dedication.
Employee discounts on furniture, electronics, and appliances.
MAT & PAT leave top-up.
Expand your financial knowledge through engaging Financial Literacy Learning opportunities.

Health And Lifestyle

Enjoy company-paid volunteer days to give back to the community.
Access 24/7 healthcare with Virtual Doctor Appointments.
Personalize your benefits with a flexible modular benefits package.
Stay fit and energized with exclusive access to our on-site private gym at our head office.

Employee Perks

Fuel your growth with the Tuition Assistance Program.
Double the impact of your generosity with Company Matched Charitable Donations.
Internal development training programs and platforms including job-specific training, career coaching, leadership excellence, mentorship, and many others.
Enjoy a state-of-the-art office space with perks like a games room, a healthy snack program, a fitness studio, free gated parking, and more!

Diversity, Inclusion, And Equal Opportunity Employment

At goeasy, we believe that we can only be the best when people are able to bring their best selves to work every day. goeasy is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. As an equal opportunity employer, we are committed to providing accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process. Please let the talent acquisition team know if you require an accommodation during any aspect of the recruitment process and we will work with you to address your needs. 

Additional Information

All candidates considered for hire must successfully pass a criminal background check, credit check, and validation of their work experience to qualify for hire. We thank all interested applicants; however, we will only be contacting those for interview who possess the skills and qualifications outlined above.

Apply About employer

More about this job

Responsibilities

Analyze portfolio and customer data to develop risk models, identify trends, segment customers, and optimize collections strategies. Monitor delinquency, charge-off, and cash collection performance; update forecasts, conduct scenario analyses, and communicate insights and recommendations to stakeholders.

Requirements

A bachelor's degree in a quantitative or related discipline is required, with an advanced degree desired. Candidates should have strong quantitative and statistical modeling skills, SQL knowledge, SAS familiarity, advanced Excel skills, experience with large datasets and dashboards, and the ability to communicate findings and manage competing priorities.

Skills

Data Mining
Statistical Analysis
Risk Modeling
Customer Risk Segmentation
SQL
SAS
Advanced Excel
Forecasting
Scenario Analysis
Performance Reporting
Dashboard Development
Data Visualization
Stakeholder Communication
Trend Analysis
Portfolio Analysis

Benefits

RRSP Matching
Employee Share Purchase Plan
Annual Bonus
Employee Discounts
Maternity and Parental Leave Top-Up
Financial Literacy Learning
Paid Volunteer Days
Virtual Doctor Appointments
Flexible Benefits Package
On-Site Gym
Tuition Assistance
Matched Charitable Donations
Training and Development Programs
Career Coaching
Mentorship
Games Room
Healthy Snacks
Fitness Studio
Free Gated Parking

Visa sponsorship

Not detected in the job text

Keywords

Collections Strategy
Consumer Lending
Risk Models
Data Mining
Statistical Analysis
Customer Risk Segmentation
SQL
SAS
Advanced Excel
Large Datasets
Delinquency
Charge-Off
Cash Collection
Loss Forecasting
Vintage Analysis
Sensitivity Analysis
Scenario Analysis
Performance Measurement
Dashboards
Data Visualization
Portfolio Performance
Data-Driven Decision Making
Operations
Data
Technology

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