Affirm
Manager
Lead an ML engineering team building post-origination credit risk models at Affirm
A people-management role leading a team of ML engineers building models that predict repayment behavior, personalize collections, and minimize loss after loan origination at Affirm. Requires 8+ years of technical experience including 3+ years managing engineers, plus hands-on background in credit/lending post-origination modeling. Europe-based (UK, Poland, or Spain).
走进这场面试
免费 · 一场按这个岗位校准的真语音模拟
这场面试考什么
- Team leadership and technical strategy-setting for ML engineers
- Post-origination credit modeling (repayment, collections, recovery, loss mitigation)
- ML technique breadth: tree-based models, transformers, deep learning, agentic ML
- Cross-functional alignment with product, risk, and analytics
- Mentorship and engineer development
常见提问方向
How would you set technical strategy and prioritize projects for a repayment/recovery ML team?
Walk me through a modeling approach for predicting repayment or prioritizing collections
Tell me about a time you acted as a force-multiplier through a technical or process decision
Describe aligning product, risk, and engineering on a tradeoff involving model behavior
How do you mentor and develop ML engineers on your team?
How do you move between low-level implementation details and large-system architecture?
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