Senior Analyst
- Ottawa, Canada
- Senior Level
- Posted
Join Affirm's Risk & Analytics (R&A) team as a Senior Analyst. In this role, you will make crucial decisions that direct Affirm's business strategy, optimize approval, conversion, losses, and profitability, and tackle diverse challenges across the customer and merchant lifecycle. You will take ownership of the entire analytical lifecycle, from initial question to final business decision, and turn complex data and systems into clear, actionable signals. This position offers a remote-first work environment, generous time off, health benefits, and opportunities for learning and development.
You bring exceptional analytical rigor, deep domain expertise, and the ability to translate complex regulatory, economic, and machine learning insights into actionable business strategies
You thrive in ambiguity, balance growth with resilience, and are comfortable operating at both strategic and execution levels to influence stakeholders across the organization
Responsibilities
- Optimizing merchant and checkout performance to improve conversion, approvals, and unit economics across the purchase funnel.
- Driving engagement, repeat usage, and lifecycle health across Affirm's app, web, and card experiences.
- Preventing and reducing fraud losses across the customer journey while maintaining a frictionless user experience.
Requirements
- You will operate with autonomy to own the entire analytical lifecycle, from initial question to final business decision
- Advanced proficiency in SQL, Python, or other scripting languages
- Degree in Data Science, Computer Science, Engineering, Economics, or a related quantitative field
- Demonstrated ability to translate complex regulatory and economic insights into actionable strategies
- 2–5 years of proven experience in an analytically driven role within the consumer lending, credit, or fintech industry, specifically leveraging advanced analytics to develop and optimize business strategies
- Proven experience leading cross-functional initiatives that bridge Product, Legal, Compliance, and Engineering to align analytical strategies with business objectives
- Deep expertise in data mining, data visualization, and statistical modeling, with experience applying machine learning techniques to business or risk management problems
- Exceptional communication skills with the ability to influence senior stakeholders across technical and non-technical functions
- Strong understanding of consumer lending regulations, regional market dynamics, and the broader economic landscape influencing policy and growth
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