About this role
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Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The role: SoFi is seeking a Staff Data Analyst – Internal Audit to join the SoFi Internal Audit (IA) Department, reporting to the Manager, Data Analytics, Internal Audit. You will support the development and execution of data analytics solutions that enhance audit planning, risk assessments, audit testing, continuous monitoring, and departmental reporting. This is a hands-on role for an analytical and curious professional who is interested in applying data, technology, and business knowledge to support Internal Audit. You will work closely with audit teams, data owners, and business stakeholders to analyze data, identify trends and anomalies, improve audit efficiency, and communicate meaningful insights. The role will provide opportunities to develop technical, audit, and stakeholder-management skills while contributing to the continued growth of Internal Audit’s data analytics capabilities.
What you’ll do: ● Partner with audit teams to identify opportunities to use analytics throughout the audit lifecycle, including planning, fieldwork, reporting, and monitoring activities. ● Assist with the development and enhancement of automated testing routines and recurring monitoring processes. ● Create and maintain dashboards, visualizations, and reports that communicate audit results, risk indicators, and monitoring outcomes. ● Work with data owners and stakeholders to understand business processes, data structures, definitions, and data-quality considerations. ● Document analytics procedures, assumptions, data sources, testing logic, and results in accordance with Internal Audit standards. ● Stay informed about emerging analytics, automation, and audit technologies and identify opportunities to improve Internal Audit processes. ● Demonstrate curiosity and a willingness to learn emerging technologies, including artificial intelligence, machine learning, automation, and advanced analytics. ● Explore and evaluate opportunities to responsibly apply AI and other emerging technologies to improve audit planning, testing, monitoring, reporting, and operational efficiency. ● Assist with developing, testing, and documenting AI-enabled or automated solutions that support Internal Audit activities.
What you’ll need: ● 1+ years of experience in Data Analytics and Internal Audit, Risk Ma