Engineering Manager, Machine Learning - Credit Risk

Job summary

Responsibilities

We’re looking for an engineering manager to lead the Credit Risk team and shape how Stripe uses machine learning to manage credit risk at scale. You’ll set the team’s technical and product direction, connect advances in machine learning to measurable business outcomes, and help engineers deliver…

• 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
• Partner with Product, Data Science, Credit Strategy, Operations, and engineering teams to define priorities and deliver cross-functional programs

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 leading the technical delivery of 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
• Experience with credit risk, fraud detection, financial risk, trust and safety, or another domain involving decisions under uncertainty