Rippling is hiring: Senior Fraud Data Analyst in San Francisco

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 top investors and was named one of America\'s best startup employers by Forbes. We prioritize candidate safety and will communicate from @Rippling.com addresses. About The Role As a Senior Fraud Data Analyst at Rippling, you will play a key role in safeguarding the financial integrity of our clients by identifying and mitigating fraud risks across our suite of financial products. You will develop and enhance fraud detection and risk mitigation strategies, with a focus on transaction fraud monitoring, account takeover (ATO) prevention, and fraud incident investigation. You will use data-driven insights to analyze transaction data, identify emerging fraud patterns, and collaborate with cross-functional teams to implement effective solutions. Your responsibilities will include: Design and maintain fraud transaction monitoring rules for Payroll, Bill Pay, and Card transactions, refining them to address emerging fraud risks and improve detection capabilities. Improve policies and controls to prevent unauthorized access to accounts. Collaborate with Security to develop ATO tracking, analyze events, and establish detection rules. Evaluate and enhance fraud detection strategies based on data-driven insights while balancing robust prevention with a seamless user experience. Identify suspicious activities and fraud patterns, and perform thorough investigations on high-risk transactions as needed. Leverage data analysis and detection tools to inform decisions. Regularly assess fraud risks across financial transactions, recommending and implementing strategies to minimize risk. Work with Fraud, Security, Sales, Customer Service, and Compliance teams to improve monitoring and response, fostering collaboration in risk management. Partner with cross-functional teams to design and refine fraud detection tools and systems to improve mitigation efficiency and effectiveness. Monitor and review high-risk transactions daily across Payroll, Bill Pay, and Corporate Card products; take prompt action to mitigate risks and escalate as needed. What You Will Need 4+ years of experience in fraud prevention and detection, preferably in fintech, with focus on payments, lending, and SaaS industries Bachelor\'s degree in a relevant field (e.g., Math, Statistics, Operations Research); Master\'s degree preferred Strong SQL skills with the ability to write complex queries and analyze large datasets Experience with SQL-based tools (e.g., MySQL, PostgreSQL) is essential Strong data analysis capabilities with data-driven risk decisioning Understanding of payments risks and funds flows, including ACH and bank transfer fraud, ATO, wallet and corporate card transaction fraud Familiarity with fraud investigation tools and third-party risk vendors; experience with detection tools and methodologies is essential Effective communication and presentation skills to articulate complex data and risk insights Additional Information Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on protected characteristics. Rippling provides reasonable accommodations for candidates with disabilities during the hiring process. To request an accommodation, email accommodations@rippling.com. Rippling values in-office collaboration and, for office-based roles, regularly requires in-office work as part of the role. This role offers a competitive salary, benefits, and equity. Final compensation is determined by factors including location, experience, and qualifications. #J-18808-Ljbffr