Senior Fraud Strategy Data Analyst

Rippling helps businesses run HR, IT, and Finance from a single system, integrates payroll, expenses, benefits and computer provisioning, enabling full control of the employee lifecycle.

Rippling is headquartered in San Francisco, CA and has raised $1.4 B+ from leading venture capital firms such as Kleiner Perkins, Founders Fund, Sequoia, Greenoaks and Bedrock.

As a Senior Fraud Strategy Data Analyst, you will analyze fraud risk across the platform and help develop strategies to address account takeover fraud, suspicious activity detection, and fraud risk controls for product access and adverse actions.

• Analyze platform fraud trends and shape fraud‑risk‑control strategies for ATO, suspicious activity detection, and financial product access.
• Use SQL and Python to conduct complex data analysis, build dashboards and generate insights that inform risk‑management decisions and strategy development.
• 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—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.

• 4 + years of experience in fraud prevention and detection, risk analytics, or a related analytical role, ideally in financial‑technology.
• Bachelor’s degree in a relevant field (Mathematics, Statistics, Computer Science, Economics, or a related discipline); a Master’s is preferred.
• Proficiency in SQL and Python for fraud detection, investigation, and strategy support.
• Deep 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 and 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.

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 or 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, email

Rippling prefers employees to work in‑office to foster collaboration and culture. For office‑based employees (those who live within a radius of a Rippling office), working in the office, at least three days a week, is an essential function of the role. The new hire will be based in our San Francisco office.

This role’s pay range is USD 100,800 – 168,000 per year (US Tier
1) and includes competitive salary, benefits and equity.