About the role
Senior Fraud Strategy Data Analyst Senior Fraud Strategy Data Analyst About Rippling Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses,
benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer,
benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds. Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes. We prioritize candidate safety. Please be aware that all official communication will only be sent from @ Rippling.com addresses.
About
the role As the Senior Fraud Strategy Data Analyst, you will play a key role in protecting our organization's integrity by analyzing fraud risk across the platform and supporting the development of strategies to address account takeover (ATO) fraud, suspicious activity detection, and fraud risk controls related to product access and adverse actions. You will leverage your analytical skills and business acumen to surface insights, build detection logic, and partner with data science, security, product, and compliance teams to strengthen our fraud prevention posture. What you will do Analyze platform fraud trends and contribute to fraud risk control strategies for ATO, suspicious activity detection, and financial product access. Use SQL and Python to perform complex data analysis, build dashboards, and generate insights that inform risk management decisions and strategy development. Help design, test, and refine fraud detection rules and algorithms to identify and mitigate suspicious activities across the platform. Support the implementation of policies and controls that prevent unauthorized account access and adverse actions, partnering with security engineering on tracking and detection. Conduct data-driven investigations to uncover fraud patterns, measure control performance, and recommend optimizations to detection methodologies. Perform cost-benefit and impact analyses that balance fraud prevention with user experience and operational efficiency. Collaborate across teams — including Security, Sales, Customer Service, and Compliance — to support fraud monitoring and response workflows. Partner with R&D on
