Internal Audit, Data Analytics and Model Valuation

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

Stripe builds the most powerful and flexible tools for running an internet business. We handle hundreds of billions of dollars each year and enable millions of users around the world to scale faster and more efficiently by building their businesses on Stripe. To further this important mission, Stripe is building a world class Internal Audit (IA) team. Our IA mission is to make the business better as it grows. We are consumed with the goal of being agile with the business, powered by technology and an accelerator to the speed of controls integration and compliance adoption.

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 data analyst will 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 using data science, machine learning, and analytical insights. 

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

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

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
• Support model validation audits by assessing model risk throughout model development lifecycle, including model design, input data, estimation method, performance and business use
• 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

• 5+ years of professional experience
• Expertise with SQL query optimization, schema and ETL design, and data pipeline 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

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)