Engineering Manager, Machine Learning, Credit Risk

What you'll do

• Set and execute the strategy for detecting and mitigating credit risk using machine learning.
• Own outcomes related to credit losses, profitability, detection quality, and user experience.
• Lead the design and delivery of reliable machine learning models, services, and decision systems.
• Translate advanced machine learning techniques into practical capabilities that support business goals.
• Partner with cross-functional teams to define priorities and deliver multi-departmental programs.
• Recruit, hire, and develop a team of machine learning engineers.
• Strengthen the team's technical practices and contribute to broader engineering leadership initiatives.

What we'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 other domains involving decisions under uncertainty (preferred).
• Experience balancing risk reduction with customer or user experience (preferred).
• Experience building machine learning systems that support high-stakes, time-sensitive decisions at scale (preferred).
• Experience setting a multi-year technical direction while delivering progress through quarterly plans (preferred).