Internal Audit Data Analytics Lead

Stripe Stripe · Fintech · United States · 6480 Internal Audit

This role is for an Internal Audit Data Analytics Lead at Stripe, a fintech company. The primary focus is on completing data analytics for audit engagements and driving the use of AI and machine learning techniques within the audit team to improve efficiency and effectiveness. The role involves data pipeline development, ETL, SQL, Python/R for data mining, and reporting/visualization tools. While the role uses ML knowledge, it is not directly building or shipping ML models as a core product, but rather applying them to audit processes.

What you'd actually do

  1. Complete data analytics as part of audit engagements in collaboration with the IA team.
  2. Drive the use of AI across the audit team and leverage it in audit engagements
  3. Participate in audit walkthroughs and develop work programs for the in scope areas
  4. Lead DA brainstorming sessions with the audit team to discuss best use of data analytics techniques in audit planning and fieldwork
  5. Assist with substantive testing of audit findings during reporting

Skills

Required

  • SQL
  • schema and ETL design
  • data pipeline development/maintenance
  • scripting/programming for data mining and modeling (R, Python)
  • ETL development (Python)
  • machine learning techniques
  • reporting and visualization platforms (e.g., Tableau)
  • basic git command

Nice to have

  • Previous experience in a high volume transactional payment environment
  • Passionate about audit and data

What the JD emphasized

  • Expertise with SQL, schema and ETL design, and data pipeline development/maintenance (e.g., Airflow).
  • Familiarity with scripting/programming for data mining and modeling (R, Python) and ETL development (Python).
  • Experience with and knowledge of machine learning techniques.

Other signals

  • drive the use of AI across the audit team
  • leverage it in audit engagements
  • experience with and knowledge of machine learning techniques