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.
We’re looking for a
Risk Manager, Risk & Analytics
to join a collaborative and forward‑thinking risk and analytics team that partners closely with senior leaders across the business. In this role, you’ll support the development, implementation, and oversight of credit risk analysis, monitoring, and controls — helping ensure strong portfolio performance and alignment with our risk appetite. Leveraging strong data mining, modeling, and analytical skills, you’ll identify credit risk trends, inform adjudication and collection strategies, and develop forecasting, benchmarking, and reporting insights that support both business strategy and compliance.
What will you be doing?
- Data Mining, Modeling, and Analysis
- You will identify, evaluate, review and implement adjudication and collection strategy changes that are aligned with the risk appetite established by Senior Management and approved by the Board.
- By identifying, assessing, and monitoring credit risk trends, you will communicate adherence to authorized risk tolerance parameters and support Senior Management decision-making.
- Using deep analytical expertise, you will be able to properly diagnose, document and report drivers of unexpected changes to portfolio/origination composition and credit performance. Your superior communication skills will shine as you communicate your findings, including future impacts to losses and delinquency, and propose recommendations to Senior Management as required.
- Analyze and make recommendations to improve credit risk decisions around adjudication and collection strategies, along with improvements to existing reports, processes and procedures.
- Contribute to the development of a robust data infrastructure for model development and analytics. Create meaningful analysis leading to credit strategy optimization, including but not limited to customer risk segmentation development that improves the portfolio’s risk-reward profile. Apply expertise and knowledge of financial services to understand profitability and performance drivers and build programs to optimize net financial contribution.
- Forecasting and Reporting
- Build and 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.
- Oversee and conduct sensitivity and scenario analyses to understand the impact of exogenous factors, policy and operational changes on delinquency and charge off levels.
What experience do you have?
- You have 2-4 years of progressively responsible roles in retail and/or financial services credit risk management and analytics coupled with a degree in statistics, math or a related discipline (advanced degree is desired).
- You will have sound knowledge of credit risk/portfolio management procedures and principles and knowledge and practical application of data mining and statistical principles involved in model development.
- Your analytical, data storytelling,and communication skills will be top-notch, coupled with a proven ability to understand complex problems, detect trends, and understand data to develop and formulate solutions.
- Demonstrated experience in identifying, quantifying, managing, and implementing changes to credit risk decisions and underwriting strategies, policies and procedures through the use and application of analytical an