The opportunity
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
What you'll do
Set the technical and modeling strategy for fraud detection, aligning team: efforts with key business outcomes such as fraud loss reduction, approval rates, and customer experience
Lead a team of machine learning engineers to design, build, and iterate on: high-impact fraud models across the full ML lifecycle, from experimentation to production
Drive the evolution of modeling approaches, including the adoption of: representation learning, transformer-based methods, and other advanced techniques for modeling complex behavioral data
Partner cross-functionally with Product, Fraud Analytics, Risk, and: Engineering to define solutions, evaluate trade-offs, and ensure models are effectively integrated into decisioning systems
Develop talent by coaching engineers, providing feedback, and fostering a: high-performing team culture grounded in technical excellence and ownership
Bachelor’s in a technical field with 8+ years of industry experience, including 3+ years managing engineers
What they're looking for
- Experience with modern ML approaches, including representation learning, deep: learning, or transformer-based models, as well as traditional methods such as gradient-boosted trees
- Proven ability to lead teams delivering end-to-end ML solutions in production: environments, including experimentation, evaluation, and model iteration in production
- Strong engineering fundamentals and experience working with scalable systems and data pipelines
- Track record of effective cross-functional collaboration with product, analytics, and engineering partners
