Fraud Strategist

Job Summary

As a Fraud Strategist on the APAC Risk team, you will be responsible for identifying and reducing transaction and merchant fraud across Stripe's products and markets in the region.

Responsibilities

• Monitor transaction and merchant fraud trends across APAC and investigate anomalous behavior at the merchant, account, and transaction level.
• Define, build, and maintain regional fraud health metrics. Set targets, identify material changes, and communicate the drivers of performance.
• Develop short and long term fraud strategies for APAC markets, products, and payment methods. Translate investigations into clear controls, product requirements, model improvements, and operational actions.
• Partner with Product, Engineering, Data Science, Operations, Partnerships, and other Risk teams to scope, prioritize, and deliver fraud mitigation work.
• Assess fraud risks for new country, product, and local payment method launches. Define mitigations before launch and monitor outcomes after launch.
• Balance fraud loss, user experience, operational cost, conversion, and growth when recommending or implementing controls.
• Improve and automate fraud risk workflows through data, internal tools, and agent-based solutions where these can increase consistency, speed, or coverage.
• Work with users and external partners when needed to explain fraud risks, improve controls, and support a healthy payments ecosystem.
• Produce clear regional reporting for senior stakeholders, risk governance forums, and other internal audiences.

Requirements

• 5 or more years of relevant experience in fraud strategy, payments risk, financial services, fintech, trust and safety, data, or a related field.
• Experience investigating fraud or other risk patterns using account and transaction data.
• Strong analytical judgment and the ability to frame business decisions and tradeoffs through quantitative analysis.
• Intermediate SQL skills and experience applying SQL in a business environment.
• Experience defining metrics, assessing performance, and translating analysis into practical recommendations.
• Experience partnering with technical and operational teams such as Product, Engineering, Data Science, Operations, or Partnerships.
• Strong written and verbal communication skills, including the ability to explain complex risk issues to technical and non-technical audiences.
• Demonstrated project management skills and the ability to drive execution across teams with different priorities.
• Sound decision making in ambiguous or time-sensitive situations, with a willingness to learn and iterate as new evidence emerges.
• Empathy for legitimate users and an ability to balance scaled risk controls with user experience.