Stripe is hiring a Internal Audit Data Analytics Lead in Toronto!
Stripe is hiring an Internal Audit Data Analytics Lead to join its growing internal audit function, specifically within a data analytics group that supports audit work across the company. The role sits at the intersection of audit and engineering: the successful candidate will embed analytics into audit planning, fieldwork, and reporting, and will champion the use of AI to make audits faster and more insightful. This is a cross-functional position that involves collaborating with auditors and business partners in a fast-moving, high-volume payments environment. The posting lists Toronto as the primary location, with New York, San Francisco, Atlanta, and Seattle also noted as possible bases. Stripe describes its audit mission as making the business better as it scales, combining agility with technology to speed up controls integration and compliance adoption.
Key responsibilities
- Execute data analytics work as part of audit engagements, partnering closely with internal audit colleagues
- Promote and apply AI tools and techniques across the audit team and within individual engagements
- Take part in audit walkthroughs and build work programs for assigned scope areas
- Facilitate brainstorming sessions with auditors to identify where analytics can add the most value during planning and fieldwork
- Support substantive testing of audit findings during the reporting phase
- Document analytics work and audit tests in work papers
Key requirements
- Five to ten years of professional experience in audit data analytics
- Strong SQL skills plus schema and ETL design, and experience building and maintaining data pipelines (for example Airflow)
- Scripting and programming for data mining and modeling in R or Python, including ETL development in Python
- Working knowledge of machine learning techniques
- Experience with reporting and visualization tools such as Tableau
- Exceptional attention to detail and strong written and verbal communication, with the ability to explain complex work succinctly
- Comfort with ambiguity, rapid change, and learning new technologies on the job
- Bachelor's degree in statistics, computer science, economics, or another quantitative field
- Basic git command-line experience
- Preferred: prior work in a high-volume transactional payments setting and genuine enthusiasm for both audit and data
- Seniority: Lead (5-10 years experience)
- Work mode: Not specified
- Key skills: SQL, ETL design, data pipelines, Airflow, Python, R, machine learning, Tableau, data visualization, git, internal audit, AI tooling
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