Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. We are working to build innovative products and technologies that support our mission of offering honest financial products to improve lives! We are looking for an experienced Senior, Audit Analytics to contribute to the ongoing development of the Internal Audit (IA) function and to Affirm’s efforts to achieve compliance with requirements associated with its business objectives. The Audit Analytics Senior will directly assist the Senior Manager/Director of Audit Analytics with implementing Continuous Auditing (CA) and Data Analytics (DA) capabilities to impact and influence positive business outcomes!

In Short

Assist and be an individual contributor for IA project deliverables, including scoping documentation, narratives, flowcharts, and testing workpapers.
Work with business partners across the company to perform various reviews, conduct transactional testing, and provide insights based on trend analysis.
Complete specific areas of an audit project using audit methodology to evaluate risk and determine control objectives.
Implement continuous auditing, data analysis, and monitoring capabilities using the Affirm platform and technology.
Understand and identify an inventory of applications, databases, and data warehouses across Affirm.
Support audit issue remediation validation and closure procedures.
Execute the data analytics scope related to SOX program.
Identify and promote audit standard methodologies associated with Affirm’s core platforms.
Adhere to applicable federal & state laws and Affirm policies.
Prepare and complete detailed audit programs for DA projects.

Requirements

5+ years of data analytics and scripting capabilities (SQL, Python, R) and reporting tools (Looker, Tableau).
Bachelor's Degree or equivalent in Computer Science, Management Information Systems or Data Analytics.
Experience implementing Continuous Auditing and Data Analytics techniques.
Extracting data from data warehouses and databases.
Experience developing and maintaining analytics dashboards.
Experience operating in an ambiguous and evolving environment.
Demonstrated experience with IIA Professional Practices and Standards.
Experience in FinTech, Financial Services, Retail, SaaS or technology-related companies.