Engineering Manager, Machine Learning - Credit Risk
Stripe · N/A · 8535 Risk Credit & Fraud · listed September 15, 2026
The shape of it
Seniority
Manager
Experience asked
3+ years
Where
Not stated
Requirements listed
4
Length
553 words
In the posting’s own words
The Credit Risk team develops intelligent systems that help Stripe identify high-risk accounts, minimize credit losses, and improve profitability. Credit risk is a complex machine learning problem that requires us to distinguish emerging risk from healthy business activity while giving legitimate users a clear and reliable experience.
What it asks for · 4
- 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
Also a plus
- 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 a multi-year technical direction while delivering progress through quarterly plans
- Experience managing geographically distributed teams
What the job covers
- 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
- Recruit, hire, and develop machine learning engineers while building an inclusive and effective team
- Contribute to broader engineering and machine learning initiatives as a member of Stripe’s engineering management team
Tools and skills named
Models & research
- Machine learning14×
Product & design
- User experience3×
- Roadmap
Operations & finance
- Recruiting
Ways of working
- Cross-functional
Words the posting leans on
- machine learning14×
- experience13×
- engineering9×
- credit risk8×
- product7×
- systems7×
- engineers6×
- business4×
- data science4×
- decisions4×
- product data4×
- requirements4×
- strategy4×
- technical4×
- deliver3×
- develop3×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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