Senior Fraud Risk Data Analyst

About Rippling

Rippling gives businesses one place to run HR, IT, and Finance, consolidating workforce systems like payroll, expenses, benefits, and computers. This allows for managing and automating every part of the employee lifecycle in a single system. For instance, onboarding a new employee anywhere globally, setting up their payroll, corporate card, computer, benefits, and third-party apps like Slack and Microsoft 365, can all be completed within 90 seconds. Based in San Francisco, CA, Rippling has raised over $1.4 billion from top investors including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock, and has been recognized by Forbes as one of America's best startup employers.

We prioritize candidate safety. All official communication will only be sent from @Rippling.com addresses.

About The Role

As a Senior Fraud Risk 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 be responsible for developing and enhancing fraud detection and risk mitigation strategies, with a focus on transaction fraud monitoring, account takeover (ATO) prevention, and fraud incident investigation, all while ensuring that decisions are based on robust analytics and large-scale data sets. Using data-driven insights, you will analyze transaction data, identify emerging fraud patterns, and collaborate with cross-functional teams including data science, security, compliance, product, and engineering to implement effective solutions. This is an excellent opportunity to leverage your expertise in data analytics and fraud prevention to drive strategic and impactful results, and grow your career in a fast-paced, dynamic environment.

What You Will Do

• Design and maintain fraud transaction monitoring rules based on comprehensive data analysis for Payroll, Bill Pay, and Card transactions, continuously refining them to address emerging fraud risks and improve detection capabilities.
• Improve policies and controls to prevent unauthorized access to accounts.
• Collaborate with the Security team to develop ATO tracking, analyze customer events, and establish detection rules to prevent fraud and account takeovers.
• Evaluate and enhance fraud detection strategies based on data drive insights, balancing the need for robust fraud prevention with the goal of maintaining a seamless user experience and operational efficiency.
• Identify suspicious activities and fraud patterns, and perform thorough investigations on high-risk transactions when necessary.
• Leverage data analysis and fraud detection tools to make informed decisions.
• Regularly assess fraud risks across various financial transactions, recommending and implementing strategies to minimize risk and improve fraud prevention effectiveness.
• Work closely with the Fraud, Security, Sales, Customer Service, and Compliance teams to improve fraud monitoring and response processes, and promote a collaborative approach to fraud risk management.
• Partner with cross functional teams to design and refine fraud detection tools and investigative systems, improving the efficiency and effectiveness of fraud mitigation efforts.
• Monitor and review high-risk transactions on a daily basis across Payroll, Bill Pay, and Corporate Card products to identify suspicious activity.
• Take prompt action to mitigate fraud risks and escalate issues as needed to minimize exposure and impact.

What You Will Need

• 4+ years experience in fraud prevention and detection, preferably in the financial technology sector, with a strong 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 to analyze large datasets, identify trends, and generate fraud-related reports. Experience with SQL-based tools (e.g., MySQL, PostgreSQL, or similar databases) is essential.
• Strong data analysis capabilities, with the ability to make data-driven fraud risk decisions.
• In-depth understanding of payments risks and funds flows, specifically within ACH and bank transfer fraud, account takeovers, wallet and corporate card transaction fraud.
• Familiarity with the fraud investigation tools and industry-leading third-party risk vendors.
• Experience with fraud detection tools and methodologies is essential.
• Effective communication and presentation skills, capable of articulating complex data and risk insights to various stakeholders.

Key skills/competency

• Data Analysis
• Fraud Prevention
• SQL
• Payments Risk
• Account Takeover (ATO)
• Transaction Monitoring
• Risk Mitigation
• Financial Technology (FinTech)
• Data-Driven Decision Making
• Cross-functional Collaboration
• Fraud Investigation