Data Scientist - Financial Analytics
About the position Rippling's Payments Data & Analytics team is seeking an experienced and highly skilled Data Scientist to join our rapidly expanding team. In this pivotal role, you will be responsible for designing, building, and maintaining services that automatically process vast amounts of financial data, providing comprehensive visibility into every stage of the money movement lifecycle within Rippling's payments product ecosystem. This is an exciting opportunity to become a foundational member of the Payments Analytics team, ensuring accurate settlement between our customers, external financial institutions, and Rippling for every transaction. This is a highly cross-functional role with significant visibility, including with the executive team. You will empower the Accounting, Finance, Biz Ops, Payments, and Product teams by delivering accurate data that is critical to Rippling's finances and essential for the correct functioning of product systems. Responsibilities • Collaborate cross-functionally with engineering, accounting, financial partnerships, and product teams to analyze and account for billions of dollars flowing through the Rippling payment platform. • Build full-cycle analyses using SQL, Python, or other scripting and statistical tools, and develop real-time metrics dashboards to manage key financial and operating levers of the business. • Monitor payment flows between systems, banks, processors, and inter-company accounts, perform daily account reconciliations, and follow up on any discrepancies. • React swiftly to emerging issues, summarize facts, and provide recommendations for the timely resolution of critical financial matters. • Collaborate with key stakeholders (Accounting, Compliance, Treasury, etc.) to understand business requirements and develop scalable solutions for reporting and reconciliation automation, including internal tool development and/or the implementation of third-party tools. • Develop and maintain comprehensive documentation of reconciliation processes and procedures. • Prepare and deliver data and reporting solutions supporting month-end close, regulatory & compliance reporting, and Internal and External Audit reporting. • Communicate findings and recommendations to stakeholders through clear and concise presentations and reports. Requirements • Master's degree or Bachelor's degree in Computer Science, Engineering, Statistics, MIS or other quantitative fields. • 5+ years demonstrated experience in applying statistical analysis, modeling, machine learning and/or exploratory analysis to large datasets, ideally in payments processing, quote-to-cash financial reporting. • Experience with data warehousing, ETL, and reporting tools (e.g. Snowflake, Tableau, dbt, Dagster). • Extensive experience with SQL, Python, or other scripting languages and their application to all phases of the data science development process (initial analysis and model development through deployment). • Experience working with engineering, finance, and accounting teams to assess their data needs and build automated reporting pipelines. • Strong problem-solving and communication skills, with the ability to communicate findings and recommendations clearly to both technical and non-technical audiences. • Ability to interface with multiple stakeholders and senior leadership (C-suite) across the organization. Nice-to-haves • Bonus points if you have experience with general accounting principles, with the general ledger close process, and regulatory compliance. Apply tot his job