Senior Credit Risk Data Analyst
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Shape credit and fraud decisions remotely at affirm by combining data mining, machine learning, and consumer lending expertise.
As a Senior Analyst in affirm’s Risk & Analytics organization, you will address analytical challenges across the full customer and merchant lifecycle. Team placement may focus on fraud prevention, checkout conversion, card engagement, servicing, core analytics, or international expansion. The shared foundation is analytical rigor, domain expertise, and translating regulatory, economic, and machine learning insights into clear strategies.
Key Responsibilities:
- Manage portfolio performance and changing market trends
- Balance risk, growth, and operational strategies
- Partner with engineering and machine learning teams
- Collaborate with product, legal, and compliance teams
- Support compliant launches and sustainable market expansion
Requirements:
- Two to five years in credit, lending, or fintech analytics
- Degree in computer science, engineering, economics, or data science
- Advanced SQL, Python, or scripting skills
- Deep data mining, visualization, and statistical modeling expertise
- Understanding of lending regulations and regional markets
Use credit risk analytics, machine learning, and regulatory understanding to guide actionable strategies as an affirm Senior Analyst.
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