Senior Fraud Risk Data Analyst

Key Responsibilities:

• 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-driven insights, balancing fraud prevention with maintaining a seamless user experience and operational efficiency. - Identify suspicious activities and fraud patterns, perform thorough investigations on high-risk transactions, and make informed decisions using data analysis and fraud detection tools. - Regularly assess fraud risks across various financial transactions, recommend and implement strategies to minimize risk and enhance fraud prevention effectiveness. - Work closely 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 daily across different products to identify suspicious activity, take prompt action to mitigate risks, and escalate issues as needed to minimize exposure. Qualifications Required:

• 4+ years of experience in fraud prevention and detection, preferably in the financial technology sector, focusing 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 to write complex queries, analyze large datasets, identify trends, and generate fraud-related reports. Experience with SQL-based tools (e.g., MySQL, PostgreSQL) is essential. - Strong data analysis capabilities to make data-driven fraud risk decisions. - In-depth understanding of payments risks and funds flows, particularly within ACH and bank transfer fraud, account takeovers, wallet and corporate card transaction fraud. - Familiarity with fraud investigation tools, industry-leading third-party risk vendors, and fraud detection methodologies. - Effective communication and presentation skills to articulate complex data and risk insights to various stakeholders. (Note: Additional details of the company were not provided in the job description.) Role Overview: As a Senior Fraud Data Analyst at Rippling, you will play a key role in safeguarding the financial integrity of clients by identifying and mitigating fraud risks across the suite of financial products. Your responsibilities will include developing and enhancing fraud detection and risk mitigation strategies, focusing on transaction fraud monitoring, account takeover (ATO) prevention, and fraud incident investigation. You will utilize data-driven insights to analyze transaction data, identify emerging fraud patterns, and collaborate with cross-functional teams to implement effective solutions. This role offers an opportunity to leverage expertise in data analytics and fraud prevention to drive strategic results and grow in a fast-paced environment. Key Responsibilities: