Internal Audit Data Analytics Lead

at Stripe

📍 Toronto, Canada
📍 New York City, United States
📍 South San Francisco, United States

USD 153,600-230,400 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Agile Airflow @ 6 Audit @ 8 Communication @ 7 Compliance ETL @ 3 Git @ 4 Machine Learning @ 4 Payments Python @ 3 R @ 3 Reporting @ 4 SQL @ 6 Statistics @ 6 Tableau @ 4

Details

Who We Are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Stripe builds tools for running an internet business and handles hundreds of billions of dollars each year.

Stripe is building a world-class Internal Audit (IA) team. The IA mission is to make the business better as it grows by being agile with the business, powered by technology, and an accelerator to the speed of controls integration and compliance adoption.

About the Team

The Internal Audit team provides objective feedback and insights across the company regarding the design and effectiveness of Stripe’s business processes, compliance with laws and regulations, and risk management framework. The team collaborates across the business in a rapid-growth, high-volume environment.

This is an opportunity to join a growing Data Analytics team within audit and provide data-driven insights across the IA lifecycle. The Data Analytics Lead will support data analytics and audit fieldwork in execution of the approved Global Audit Plan. They will help develop embedded audit analytics for audit planning, fieldwork, and reporting through the execution of data analytics test steps. The role will also help drive the use of AI to make audits more efficient and effective.

This position can be based in Toronto, New York, or South San Francisco.

Responsibilities

Complete data analytics as part of audit engagements in collaboration with the Internal Audit team.
Drive the use of AI across the audit team and leverage it in audit engagements.
Participate in audit walkthroughs and develop work programs for in-scope areas.
Lead data analytics brainstorming sessions with the audit team to discuss the best use of data analytics techniques in audit planning and fieldwork.
Assist with substantive testing of audit findings during reporting.
Document data analytics and audit tests in work papers.

Requirements

5–10 years of professional experience working in audit data analytics.
Expertise with SQL, schema and ETL design, and data pipeline development and maintenance, such as Airflow.
Familiarity with scripting and programming for data mining and modeling using R and Python, as well as ETL development with Python.
Experience with and knowledge of machine learning techniques.
Experience with reporting and visualization platforms, such as Tableau.
Exquisite attention to detail.
A passion for building high-quality products and driving meaningful impact.
Versatility and willingness to learn new technologies on the job.
High tolerance for rapid change and the ability to navigate ambiguity.
Strong communication skills, with the ability to simplify and share information succinctly.
Bachelor’s degree in Statistics, Computer Science, Economics, or a related quantitative field.
Experience working with basic Git commands.