Engineering Manager, Machine Learning - Credit Risk

About the role

Stripe is a financial infrastructure platform for businesses. This Engineering Manager will lead the Credit Risk team and shape how Stripe uses machine learning to manage credit risk at scale. They will hire and develop engineers and set the team's technical and product direction.

What you'll do

• Set and execute the strategy for detecting and mitigating credit risk through machine learning
• Own outcomes related to credit losses, profitability, detection quality, and the user experience
• Lead the design and delivery of reliable machine learning models, services, and decision systems
• Translate advances in machine learning into practical capabilities that support the team's business goals
• Recruit, hire, and develop machine learning engineers while building an inclusive and effective team

What they're looking for

• 3+ years of experience managing engineers who build and operate production machine learning systems
• Experience applying machine learning to complex real world problems and delivering models and supporting systems
• Experience setting strategy and working across engineering, product, data science, operations, and business teams to deliver measurable outcomes
• Experience recruiting, managing, and developing engineers in a fast moving environment with significant autonomy

For applicants in Nigeria

• The listing indicates Nigeria eligibility is not specified and is unknown
• The listing does not state a timezone requirement; confirm before interviewing
• The listing does not specify contractor vs employee status
• The listing does not state pay currency or salary range
• The listing does not mention visa or work authorization notes for Nigeria