Internal Audit, Data Analytics Lead - New York, SF, Remote

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. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Our IA team is responsible for providing objective feedback and insights across the company in relation to the design and effectiveness of Stripe’s business processes, its compliance with laws and regulations and its risk management framework. Unique in our purpose is a cross-functional mandate that invites viewing through a wide lens and collaborating across the business. To enable this engagement, we must build and scale in a rapid-growth, high-volume environment. This is a unique opportunity to join a growing Data Analytics team within audit and work both on providing data driven insights across the IA lifecycle and provide independent assessment of models at Stripe. Our DA Lead will drive the effective use of data analytics techniques to support audits across our Technology, FinOps and Regulatory pillars. They will partner with audit leads to embed data analytics in audit planning, fieldwork, and reporting through active participation in ideation and execution. The DA lead will also help with the development of repeatable tools that help our business partners drive better decision-making and achieve improved risk management. They will also interface with model developers in the Data Science organization to provide independent assessment of models using data science, machine learning, and analytical insights. 

Our DA lead will be a key member of the IA team who will help us elevate the ambitions of Stripe. 

What you’ll do 

Responsibilities 

• Lead the development of the data analytics/audit programs in collaboration with the IA team.
• Originate data analytics ideas, models and dashboards for management reporting. 
• Drive the integration of data analytics into IA projects.
• Enhance reporting by incorporating relevant data profiling and visualizations.
• Identify opportunities for continuous monitoring and process automation for IA and stakeholders. 
• Develop and maintain continuous monitoring queries and related documentation.
• Document the data analytics and model validation testing results in work papers. 

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements 

• 7+ years of professional experience.
• Expertise with SQL query, 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 intermediate knowledge of machine learning techniques. 
• Experience with reporting and visualization platforms (e.g. Tableau).
• Exquisite attention to detail.
• A passion for building unreasonably good products and for driving defining impact.
• Versatility and willingness to learn new technologies on the job.
• High tolerance for rapid change and ability to navigate ambiguity.
• Strong communication skills with the ability to simplify and share succinctly. 
• Strong project management skills to multitask, thrive and succeed in a fast-paced environment.
• Bachelor's degree in Statistics, Computer Science, Economics, or a related quantitative field.
• Experience working with basic git commands.

Preferred qualifications

• Model validation experience 
• Experience in audit or risk management analytics 
• Previous experience in a high volume transactional payment environment
• Experience working with unstructured data (NLP)

Hybrid work at Stripe

This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.

Pay and benefits

The annual US base salary range for this role is $132,300 - $198,400. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

We look forward to hearing from you

At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us. Apply