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Fraud Investigation Specialist

Rippling - Remote - Hybrid - posted 2026-09-21

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Rippling is a unified HR, IT, and Finance platform that consolidates workforce systems—payroll, expenses, benefits, computers, and third-party apps—into a single system. The company has raised $1.4B+ from top-tier investors and is headquartered in San Francisco. As a Fraud Investigation Specialist, you will protect Rippling's financial products by detecting and investigating fraudulent activities through in-depth transaction analysis. You will work on the front lines of fraud prevention in a fast-paced environment, collaborating with global cross-functional teams to mitigate financial crime risk. Key responsibilities: - Proactively monitor daily alerts and meticulously investigate flagged transactions, documenting findings thoroughly and executing appropriate mitigation actions - Stay current on emerging industry trends, regulations, and best practices in fraud and financial crime investigations, including international AML/CTF regulations and fraud risk management standards - Build and maintain strong relationships with internal cross-functional teams including risk strategy, engineering, sales, and support - Maintain availability during US weekends and holidays to respond to immediate fraud reports and collaborate with the Fraud Ops team Note: Rippling values in-office collaboration and expects office-based employees (those within a defined radius of a Rippling office) to work in-office at least three days per week. The role includes on-call weekend and holiday availability. REQUIREMENTS: - 3+ years of experience in Fraud Risk Management or Financial Crime investigation - Ability to work and be on call for weekends and holidays - Experience reviewing system alerts to detect unauthorized transactions and account takeover attempts - Experience with U.S. fraud payments risk (ACH, Card, Checks, and Wires) - Exceptional attention to detail, coupled with strong time management and organizational skills PREFERRED QUALIFICATIONS: - Familiarity with SQL and strong data analysis skills - Technical understanding of rules-based engines (e.g., Accertify, Datavisor) - Familiarity with financial services, HR technology, or FinTech

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