Associate Principal, SOX Analytics

Airbnb · India

Experience: Principal

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: We are seeking a highly skilled and experienced forward thinking Analytics Engineer professional to join the Financial Controls team. The ideal candidate will be responsible for leveraging data analytics, AI and tooling to build automations around the SOX program, including operational program management, SOX control testing, and reporting. You will play a crucial role in building the long term vision, enhancing our risk assessment capabilities and executing efficient testing under Section 404 of the Sarbanes-Oxley Act of 2002. The Difference You Will Make: The role requires a well-rounded controls focused professional with analytics, systems, infrastructure and operational expertise. In addition, excellent communication, conceptional SOX knowledge, ability to identify and assess risk and apply audit methodologies is required. The position reports to the Principal, Technical SOX Compliance Lead that rolls up to the Director, Financial Risk & Controls. A Typical Day: Work closely with the testing team to reimagine how we can use data-driven approaches to test the operating effectiveness of controls. Analyze large volumes of data from various sources in order to build automated transaction testing, risk assessments, or issue investigation to determine the root cause and potential impact to financial controls. Build internal tooling, automation applications with real time monitoring that streamline the SOX control program Leverage agentic AI and large language models to analyze unstructured data for SOX testing. Validate the integrity, accuracy and reliability of data through the imple

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