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 requirements for fraud detection and investigation tooling, providing data-driven feedback to ensure they meet evolving business needs. What you will need 4+ years of experience in fraud prevention and detection, risk analytics, or a closely related analytical role, ideally within the financial technology sector. Bachelor's degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Economics, or a related discipline); a Master's degree is preferred. Strong expertise in data analysis with demonstrated proficiency in SQL and Python for fraud detection, investigation, and strategy support. Solid understanding of account takeover risks, suspicious activity patterns, and fraud prevention methodologies. Familiarity with industry-leading tools and third-party risk vendors for fraud detection and analysis. Working knowledge of industry regulations and compliance requirements related to fraud risk management. Excellent communication skills, with the ability to translate complex data insights into clear recommendations for technical and non-technical stakeholders. Strong attention to detail, intellectual curiosity, and a bias toward action in ambiguous problem spaces. Additional Information Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental dis