Engineering Manager, Machine Learning - Credit Risk at Stripe

Department: 8535 Risk Credit & FraudEducation: education_required

Language

Location: Prague
Level: lead/mgmt
Posted: Sep 15, 2026

Description

Stripe is hiring an Engineering Manager, Machine Learning Credit Risk to lead its Credit Risk team and set the technical and product strategy for machine learning systems that detect and mitigate credit risk. The role owns outcomes related to credit losses, profitability, detection quality, and user experience; leads the design and delivery of reliable models, services, and decision systems; partners with Product, Data Science, Credit Strategy, Operations, and engineering teams; and recruits, hires, and develops machine learning engineers.

Required Skills

Machine learning
Credit risk
Fraud detection
Engineering management
Decision systems

Additional Information

Required Previous Experiences: 3+ years managing engineers who build and operate production machine learning systems
Experience applying machine learning to complex, real-world problems and leading technical delivery of models and supporting systems
Experience setting strategy and working across engineering, product, data science, operations, and business teams
Experience recruiting, managing, and developing engineers in a fast-moving environment with significant autonomy
Preferred Qualifications: Experience with credit risk, fraud detection, financial risk, trust and safety, or another domain involving decisions under uncertainty
Experience balancing risk reduction with customer or user experience
Experience building machine learning systems that support high-stakes, time-sensitive decisions at scale
Experience setting multi-year technical direction while delivering progress through quarterly plans
Experience managing geographically distributed teams
Translation Company Name: Stripe