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About This Role
Affirm is seeking an Analytics Lead for Credit Analytics to drive business strategy through data analysis and experimentation. The ideal candidate will have exceptional analytical skills, deep credit domain expertise, and the ability to influence stakeholders. The role involves leveraging advanced data analytics to optimize credit strategies, partnering with Engineering to design and build scalable risk models, and collaborating with cross-functional teams to interpret regulatory and market requirements.
Key ResponsibilitiesAI-extracted
- 1Leverage advanced data analytics to derive insights and optimize credit strategies across products and geographies
- 2Partner with Engineering to design and build scalable risk models and credit risk capabilities
- 3Monitor portfolio performance and macroeconomic trends that impact loan outcomes and proactively adjust underwriting and marketing strategies
- 4Collaborate with Product, Legal, and Compliance teams to interpret evolving regulatory and market requirements
- 5Oversee the development and execution of credit underwriting frameworks that balance growth, compliance, and risk mitigation goals
RequirementsAI-extracted
- Degree in Data Science, Computer Science, Engineering, Economics, or a related field, and 4+ years of experience
- Experience setting credit strategy for de novo products using Sandbox data, retrospective studies or archives
- Experience in high-line unsecured lending, especially in the home improvement vertical
- SQL, Python, or other scripting languages
- Proven experience leading cross-functional initiatives that bridge Product, Legal, Compliance, and Engineering
Perks & BenefitsAI-extracted
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