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Senior Risk Analyst (Analytics)

  • Mississauga, ON, Canada

Full-time

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Job details

Job type
Full-time
Apply by
Experience
2+ year’s experience as an analyst or in a similar position
Posting language
English
Posted

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.

goeasy Ltd. is seeking a Senior Risk Analyst to join our Risk and Analytics team. This role will leverage strong analytical and problem-solving capabilities to support credit risk management, portfolio monitoring and data-driven decision-making. Reporting to the Senior Manager, Risk and Analytics, the Senior Risk Analyst will help develop, implement and enhance risk strategies, analytics, monitoring and controls that support sound credit risk management and profitable growth. The role will also provide in-depth analytics and insights to business partners across the organization, working cross-functionally to support evolving business and data needs.

What will you be doing?

  • Data mining, Modelling and Analysis:
    • Conduct guided analytical dives to properly diagnose, document and report on the drivers of unexpected changes to portfolio/origination composition and credit performance across multiple lending channels including retail, online lending and alternative. Communicate findings and the future impacts to losses to management
    • Assist Risk and Analytics leadership by supporting the development of risk models for the purposes of origination, account management and collections
    • Perform analysis leading to credit strategy optimization, including but not limited to customer risk segmentation development that improves the portfolio’s risk-reward profile
    • Forecast, track and measure key business metrics including loss rates, approval rates, loan conversion rates, and credit quality for new initiatives and marketing campaigns
  • Forecasting and Reporting:
    • Maintain a standard set of risk and performance reports that evaluate the overall credit risk of the portfolio
    • Monitor and maintain a comprehensive set of reports to identify delinquency and charge off trends at the vintage and segment levels. Apply observations to loss forecasting models to capture current trends and communicate to Senior Management 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
    • Assist Risk and Analytics leadership by providing an objective assessment of the risk profile and performance of the easyfinancial portfolio as well as the overall business unit by regularly monitoring key risk indicators, conducting periodic credit reviews, and consistently communicating findings
What experience do you have?

  • Strong knowledge of quantitative methodologies, risk models and tools
  • Strong technical knowledge of statistical analysis, modeling techniques
  • University Degree in Statistics, Mathematics or a related discipline (advanced degree is desired)
  • Superior analytical skills – demonstrated ability to understand complex problems, detect trends, and understand data to develop and formulate solutions
  • Possess a solid understanding of data extraction/mining/modeling tools including SAS and SQL
  • 2+ year’s experience as an analyst or in a similar position
  • Able to convey complex information and concepts in understandable terms, tailors message and content to the intended audience
  • Flexibility to adapt to an evolving environment with shifting priorities with the capacity to handle multiple competing demands and meet tight turnaround timelines

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.

$79,750.00 – $93,500.00 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.
More about this job

Responsibilities

Analyze portfolio composition and credit performance across lending channels, identify drivers of changes, and communicate potential loss impacts to management. Support risk model development, credit strategy optimization, forecasting, reporting, and monitoring of portfolio risk indicators and performance.

Requirements

Candidates should have at least two years of analyst experience, a university degree in Statistics, Mathematics, or a related discipline, and strong quantitative, statistical, and modeling capabilities; an advanced degree is desired. They should be proficient with data extraction and modeling tools such as SAS and SQL, demonstrate strong analytical and communication skills, and be able to adapt to shifting priorities and tight timelines.

Skills

  • Credit Risk Management
  • Data Mining
  • Statistical Analysis
  • Risk Modeling
  • Portfolio Monitoring
  • Credit Strategy Optimization
  • Customer Risk Segmentation
  • Forecasting
  • Scenario Analysis
  • Sensitivity Analysis
  • SQL
  • SAS
  • Data Analysis
  • Problem-Solving
  • Reporting
  • Stakeholder Communication

Benefits

  • RRSP Matching
  • Employee Share Purchase Plan
  • Annual Bonus
  • Employee Discounts
  • Maternity and Parental Leave Top-Up
  • Financial Literacy Learning Opportunities
  • Company-Paid Volunteer Days
  • Virtual Doctor Appointments
  • On-Site Gym Access
  • Tuition Assistance
  • Matched Charitable Donations
  • Professional Development and Training
  • Career Coaching
  • Mentorship
  • Free Gated Parking

Visa sponsorship

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Categories

  • Data & Analytics
  • Finance & Accounting

Keywords

  • Credit Risk
  • Risk Analytics
  • Portfolio Monitoring
  • Data Mining
  • Statistical Analysis
  • Risk Models
  • SAS
  • SQL
  • Credit Strategy
  • Risk Segmentation
  • Loss Forecasting
  • Delinquency
  • Charge-Off Trends
  • Vintage Analysis
  • Scenario Analysis
  • Sensitivity Analysis
  • Origination
  • Account Management
  • Collections
  • Approval Rates
  • Loan Conversion Rates
  • Credit Quality
  • Key Risk Indicators
  • Credit Reviews
  • Consumer Lending
  • Retail Lending
  • Online Lending
  • Alternative Lending
  • Data-Driven Decision-Making

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