Specialist Solutions Architect, Radar (Fraud/Risk)
Who We Are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities.
What this role actually needs.
Specialist Solutions Architect, Radar (Fraud/Risk) at Stripe in Remote (United States). UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. Who We Are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities.
Day-to-day expectations
A clear list of the work this role is designed to cover.
- Act as a Subject Matter Expert on Stripe's Radar product suite to accelerate opportunities globally.
- Demonstrate a deep understanding and point of view on trends in the fraud and risk management ecosystem, including AI-powered detection, processor-agnostic architectures, and the shift from payment fraud to holistic business risk (e.g., policy abuse, account takeover, first-party misuse).
- Develop expertise with the functional and architectural patterns for deploying advanced fraud systems, including the lifecycle of rule management, ML model tuning, and manual review optimization.
- Understand the ecosystem of risk and identity integrations (e.g., device fingerprinting, identity verification, bot mitigation, case management) Stripe must support for our users to be successful.
- Define, share, and learn best practices and re-usable assets with the broader GTM organization to enhance the quality and efficiency of the team.
- Create reference architectures to uplevel the team and refine reference solutions based on product enhancements and feedback from customers.
What a strong candidate brings
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- 7+ years of experience in a pre-sales, technical consulting, product, or risk strategy role focused on e-commerce fraud prevention, risk management, or trust & safety.
- Deep working knowledge of the fraud and risk ecosystem, including payment fraud (CNP), account takeover (ATO), first-party misuse (friendly fraud), and policy/content abuse.
- Demonstrated knowledge of risk management architectures, including the role of rules engines, machine learning models, and manual review queues in fraud decisioning.
- Strong knowledge of the signals and data used in fraud detection, such as device/IP data, behavioral biometrics, identity verification, and graph-based analysis.
- Strong knowledge of software engineering and architecture patterns, with the ability to understand how a wide variety of technologies and systems interact with each other.
- Exceptional communication, presentation, and interpersonal skills, comfortable explaining complex concepts to both technical and non-technical audiences.
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