Compliance Governance Data Scientist

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 We are looking for a Compliance Governance Data Scientist to join our Compliance Risk Office (CRO). As Rippling expands rapidly into regulated markets globally (UK, EU, AU, SG, NZ), our compliance surface is outgrowing our legacy infrastructure. This role is a critical technical hire tasked with closing that gap. Moving beyond traditional Financial Crime/AML, you will build the technical data infrastructure to track cross-domain compliance risks across Complaints, Regulatory, Product Governance, and Employer of Record (EOR). You will own the automated aggregation of risk data, stand up our central Management Information (MI) reporting framework, and help launch our proprietary Compliance Risk App. The ideal candidate has 2–3 years of experience writing SQL, building dashboards, and translating qualitative compliance frameworks into quantitative data models. What you will do Transition the CRO from manual data assembly to automated, real-time dashboards that provide a single consolidated view of risk for the Compliance Committee and Board. Serve as the functional data owner for the rollout of our Compliance Risk App, ensuring it serves as the single source of truth for all cross-domain risks. Work closely with our Governance Lead to translate the new compliance risk taxonomy into measurable Key Risk Indicators (KRIs) across all business units. Connect data pipelines from our Monitoring & Testing (M&T) domain programs directly to the central risk register so testing becomes completely risk-based. Run historical and predictive trend reporting on compliance issues, tracking open actions to ensure the business can actively evidence its compliance to global regulators. What you will need 2–3 years of experience as a Data Analyst, Risk Analyst, or Business Intelligence Engineer, ideally within a scaling Fintech, SaaS, or highly regulated operational environment. Strong proficiency in SQL (joins, CTEs, optimization) and experience building production-grade dashboards in BI tools (e.g., Tableau, Power BI, or Looker). Experience working with risk management platforms, GRC systems, or internal application development (experience with internal low-code/no-code internal app building is a massive plus). While you do not need to be a legal expert, you must be eager to learn cross-domain compliance areas like EOR regulations, marketing compliance, and global regulatory frameworks. Proven ability to operate in a fast-paced "build" environment, transforming unstructured, messy data into organized, automated pipelines.