Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our IA team is responsible for providing objective feedback and insights across the company in relation to the design and effectiveness of Stripe's business processes, its compliance with laws and regulations and its risk management framework. This is a unique opportunity to join a growing Data Analytics team within audit and work both on providing data driven insights across the IA lifecycle and provide independent assessment of models at Stripe. Our DA Lead will drive the effective use of data analytics techniques to support audits across our Technology, FinOps and Regulatory pillars. They will partner with audit leads to embed data analytics in audit planning, fieldwork, and reporting through active participation in ideation and execution. The DA lead will also help with the development of repeatable tools that help our business partners drive better decision-making and achieve improved risk management. They will also interface with model developers in the Data Science organization to provide independent assessment of models using data science, machine learning, and analytical insights. Our DA lead will be a key member of the IA team who will help us elevate the ambitions of Stripe. Lead the development of the data analytics/audit programs in collaboration with the IA team. Originate data analytics ideas, models and dashboards for management reporting. Drive the integration of data analytics into IA projects. Enhance reporting by incorporating relevant data profiling and visualizations. Identify opportunities for continuous monitoring and process automation for IA and stakeholders. Document the data analytics and model validation testing results in work papers. If you meet these requirements, you are encouraged to apply. Expertise with SQL query, schema and ETL design, and data pipeline development/maintenance (e.g. Familiarity with scripting/programming for data mining and modeling (R, Python) and ETL development (Python). ~ Experience with and intermediate knowledge of machine learning techniques. ~ Tableau). ~ A passion for building unreasonably good products and for driving defining impact. ~ Strong project management skills to multitask, thrive and succeed in a fast-paced environment. ~ Bachelor's degree in Statistics, Computer Science, Economics, or a related quantitative field. ~ Experience in audit or risk management analytics Experience working with unstructured data (NLP) This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. medical, dental, and vision benefits;