Senior Fraud Risk Data Analyst

Role Overview: As a Senior Fraud Risk Data Analyst at Rippling, you will play a crucial role in protecting the company and its customers from fraud. Your focus will be on developing and refining strategies to prevent bad actors from the Rippling platform while ensuring a seamless experience for legitimate businesses during the onboarding process. Key Responsibilities: - 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. Qualifications Required: - 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.,