Lead the Fraud Machine Learning team

About the Role

Lead the Fraud Machine Learning team at Affirm in this remote role focused on fraud detection strategies. Guide your team to develop impactful models, enhancing user experience and security.

As a Manager in Machine Learning Engineering, you'll spearhead a team dedicated to building and refining models that combat fraud. Drawing from over 8 years of experience, you’ll drive technical strategy, collaborating with Product, Fraud Analytics, Risk, and Engineering teams to ensure seamless integration of models. The position focuses on implementing advanced techniques such as representation learning and transformers to analyze complex behaviors.

Key Responsibilities

• Set modeling strategy aligned with fraud reduction and customer experience goals
• Lead team to design and iterate high-impact fraud detection models
• Drive adoption of advanced ML techniques for improved accuracy
• Collaborate with cross-functional teams to define technical solutions
• Coach engineers, fostering a culture of technical excellence

Requirements

• Bachelor's in a technical field and 8+ years of experience
• 3+ years managing ML engineers
• Expertise in ML methodologies including transformers and deep learning
• Proven ability to lead end-to-end ML production solutions
• Strong cross-functional collaboration skills

Elevate your career by leading innovative ML solutions to protect Affirm's customers and prevent fraud.