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Salary: CAD 112,000 - 172,000 / annual
Affirm is hiring multiple Senior Analyst roles across its Risk & Analytics organization. This is a flexible placement opportunity where candidates interview for core R&A competencies and are then matched to one of six potential teams based on interests, experience, and business needs.
The Risk & Analytics team drives Affirm's business strategy by partnering with Machine Learning, Product, Engineering, Capital Markets, and Commercial teams. The team optimizes approval rates, conversion, losses, and profitability across the entire customer and merchant lifecycle. Potential team placements include: Point of Sale (POS) optimization, Direct-to-Consumer/Card engagement, Fraud prevention, Core Analytics infrastructure, Servicing and collections, or International Expansion.
As a Senior Analyst, you will own complex analytical problems end-to-end, translating data into business strategy and influencing decisions across technical and non-technical stakeholders. You will operate with autonomy across the full analytical lifecycle, from initial question formulation through final business decision.
Key responsibilities include: optimizing end-to-end business, risk, or growth strategies using advanced analytics; monitoring portfolio performance and macroeconomic trends to proactively adjust strategies; partnering with Engineering and ML teams to design and interpret performance metrics for scalable models; collaborating with Product, Legal, and Compliance on regulatory requirements and product design; overseeing analytical frameworks and cross-functional product launches; engaging with external stakeholders including merchants and partners; and mentoring junior analysts while building repeatable AI-assisted workflows.
You will thrive in ambiguity, balance growth with resilience, and operate effectively at both strategic and execution levels. The role requires translating complex regulatory, economic, and machine learning insights into actionable business strategies.
REQUIREMENTS:
- 2–5 years of proven experience in an analytically driven role within consumer lending, credit, or fintech, specifically leveraging advanced analytics to develop and optimize business strategies
- Degree in Data Science, Computer Science, Engineering, Economics, or related quantitative field
- Advanced proficiency in SQL, Python, or other scripting languages
- Deep expertise in data mining, data visualization, and statistical modeling, with experience applying machine learning techniques to business or risk management problems
- Proven experience leading cross-functional initiatives bridging Product, Legal, Compliance, and Engineering
- Strong understanding of consumer lending regulations, regional market dynamics, and macroeconomic landscape
- Demonstrated ability to translate complex regulatory and economic insights into actionable strategies
- Exceptional communication skills with ability to influence senior stakeholders across technical and non-technical functions
