Manager, Collections & Recovery Analysis

Who we are:

Financeit is a point-of-sale financing provider serving some of the largest home improvement and retail organizations in Canada. 

Our platform helps businesses close more sales by offering customers affordable monthly payment options for their next big home improvement, vehicle or retail purchase. 

We are small enough that you can make an impact within the company and large enough to make an impact in the market.

Financeit is a company where collaboration, inclusivity, fairness, and respect aren’t just ideas that get talked about, but are part of who we are. If such a workplace intrigues you, we hope you’ll join us.

About the role:

We are looking for a lead analyst to help bridge the gap between strategic vision and execution behind our Collections and Recovery operations. We don't need you to be a collections expert! We can teach you about the industry. What we need is someone who naturally looks at a process and policies to maximize value and efficiency.

You will use data to determine how we move files through our system, which partners we use, and where we should be doubling down to improve performance.

What you’ll do:

• You will build and refine the rules that dictate how accounts move through our delinquency lifecycle. You’ll use data to decide which strategies are working and which need to be replaced.
• Transform complex datasets into clear, narrative-driven reports on portfolio performance and strategy to inform senior leadership and to drive change.
• Serve as the analytical point of contact for outsourced partners, providing the data and reporting needed to drive high-yield performance.
• Lead and manage the implementation of new or revised processes, ensuring smooth transitions and minimal disruption using data led insights.
• Identify opportunities to automate manual decision-making points within the collections and recovery lifecycle (e.g., automated agency recalls, file placements, and status updates).
• Partner with the Product or Engineering teams to ensure that analytical models are seamlessly integrated into the core loan management systems or third-party platforms.
• Build and maintain the "if-this-then-that" logic that powers the automated movement of files between internal workflows and external vendor systems.

What you’ll need to succeed:

• A Bachelor’s degree in Business, Finance, Engineering, or a quantitative field (e.g., Mathematics, Economics, or Data Science) is preferred.
• 5+ years in a quantitative, analytical, or strategy-operations role within Fintech, Banking, or Consulting.
• Expert proficiency in BI tools (Looker, Tableau, or PowerBI) and and quantitative analysis that was implemented in business strategies. Experience in SQL is required. Experience in Python is considered a strong asset.
•  A proven ability to look at complex processes and identify the specific mathematical levers that will improve financial outcomes.
• Experience acting as a "subject matter expert" who supports senior leadership in the realization of departmental goals.

Winner of Canada’s Most Admired Corporate Cultures for two consecutive years. We offer more than just the basics, take advantage of:

• An award-winning culture with a collaborative & inclusive team.
• Competitive pay and performance-based bonus.
• Base salary: $100,000 - $115,000
• Annual bonus: 20%
• Committed to flexible work arrangements, offering hybrid workplace options.
• Comprehensive medical, dental and vision coverage + Lifestyle Account.
• RRSP Matching and Parental Leave Top UP Program.
• In office massage, meditation & workout sessions.
• Virtual events such as Lunch & Learns, company parties, fun team activities and charity initiatives.
• Career learning and development programs.

Next Steps:

If what you just read excites you, we’d like to hear from you! Please submit your application and we’ll contact you if you become selected for a phone interview.

Financeit is an equal opportunity employer. Accommodation is available on request for candidates taking part in all aspects of the selection process.