Senior Analyst
Role Overview
This posting hires Senior Analysts across multiple Risk & Analytics teams through a shared interview process; final placement depends on interests, experience, strengths, and business needs.
Potential teams include Point of Sale, Direct to Consumer/Card, Fraud, Core Analytics, Servicing, and International Expansion.
The role owns complex analytical problems end to end, translates data into business strategy, and influences decisions across technical and non-technical teams.
Key Skills for This Role
Full Job Posting
Risk & Analytics organization
The team partners with Machine Learning, Product, Engineering, Capital Markets, and Commercial to optimize approvals, conversion, losses, and profitability.
Its work spans customer and merchant lifecycle analytics, fraud, checkout conversion, data foundations, and international growth.
Role and team placement
This posting hires Senior Analysts across multiple Risk & Analytics teams through a shared interview process; final placement depends on interests, experience, strengths, and business needs.
Potential teams include Point of Sale, Direct to Consumer/Card, Fraud, Core Analytics, Servicing, and International Expansion.
The role owns complex analytical problems end to end, translates data into business strategy, and influences decisions across technical and non-technical teams.
Responsibilities
- Develop and optimize business, risk, or growth strategies across products and geographies using advanced analytics.
- Monitor portfolio performance and macroeconomic trends; adjust strategies to balance risk and growth.
- Partner with Engineering and Machine Learning on metrics for scalable risk, fraud, or growth models.
- Translate regulatory and market requirements into analytical policy and product recommendations with Product, Legal, and Compliance.
- Oversee analytical frameworks and align product launches and market entries with risk appetite, operations, and local regulations.
- Engage merchants, vendors, and partners; build repeatable AI-assisted workflows and mentor junior analysts.
Qualifications
- 2–5 years in an analytically driven role in consumer lending, credit, or fintech, using advanced analytics for business strategies.
- Degree in Data Science, Computer Science, Engineering, Economics, or a related quantitative field.
- Advanced proficiency in SQL, Python, or another scripting language; expertise in data mining, visualization, and statistical modeling.
- Experience applying machine learning to business or risk management problems and leading cross-functional initiatives.
- Understanding of consumer lending regulation, regional markets, and economic conditions; ability to turn insights into strategy and influence senior stakeholders.
Compensation
- Canadian base pay is CAD 112,000–172,000 per year.
- Compensation varies by location, experience, and job-related skills; the package may include equity, benefits, and monthly spending stipends.
Workplace
- Affirm describes itself as remote-first; most roles can be performed almost anywhere within the country of employment, though some positions may require occasional office work or be office-based.
- New hires are invited to in-person onboarding.
Benefits
- Benefits include health coverage, spending stipends, flexible time off, holidays, and an employee stock purchase plan.
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