Senior Fraud Risk 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

Rippling's Fraud Risk team is looking for a Senior Fraud Risk Data Analyst to protect the company and its customers from fraud. We're looking for an experienced analyst to focus on our new customer onboarding and fraud detection processes. In this role, you'll be instrumental in developing and refining the strategies that block bad actors from the Rippling platform while preserving a seamless experience for legitimate businesses.

What you will do

• Develop and maintain fraud detection models and rules tailored to the onboarding workflow
• Collaborate with product and engineering teams to implement new risk controls and tools
• Utilize SQL and Python to identify fraud patterns and trends during customer onboarding
• Lead investigations into fraud schemes and present findings to senior leadership
• Monitor key performance indicators (KPIs) and provide regular reports on fraud losses, false positive rates, and team efficiency

What you will need

• 3+ years of experience as a data analyst in a fraud, risk, or security function, with a focus on customer onboarding or underwriting.
• Proficiency in SQL is a must. Experience with Python or R for data analysis is a plus.
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Experience with business intelligence tools like Tableau, Looker, or similar.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Familiarity with financial services, HR technology, or FinTech is highly desirable.
• Proven track record of working independently and taking initiative in a fast-paced environment.

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 disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accomodations@rippling.com