Job description

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 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 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. Your responsibilities will include: 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. 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 Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role. This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your locationhere. A variety of factors are considered when determining someone's compensation-including a candidate's professional background, experience, and location. Final offer amounts may vary from the amounts listed below. The pay range for this role is: 128,000 - 160,000 USD per year (US Tier 1)

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