Offer summary

Qualifications:

Advanced degree in statistics, economics, or decision science., 7+ years of experience in portfolio or risk management within financial services., Proficiency in SQL and data visualization tools like Excel or Google Sheets., Strong analytical skills with a data-driven decision-making approach..

Key responsibilities:

Analyze model performance and monitor portfolio trends.

Communicate insights and organizational value to stakeholders.

Ensure compliance with credit standards and partner obligations.

Collaborate with cross-functional teams to improve operational processes.

Job description

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

The Policy & Portfolio Management team is responsible for overseeing the credit risk of Stripe's portfolio - focusing on Stripe's lending products. The team is based in North America and is composed of curious, driven, and analytical individuals who are passionate about using their skills to shape the future of Stripe. We partner closely with Stripe's treasury, engineering, data science, product, and servicing teams to manage credit risk. If you are interested in joining a fast-growing organization and applying your experience to shape the future of Stripe, we encourage you to apply.

What you’ll do

As a key member of the Policy & Portfolio Management team, you will have the opportunity to shape the future of Stripe's credit policy by driving meaningful changes to the risk and underwriting framework. You will leverage Stripe's vast data assets to formulate your recommendations and work closely with our first line team to ensure we are optimizing our strategies through various economic conditions. We are a small and lean team, which means you will have the autonomy and the responsibility to shape the roadmap.

Responsibilities

Analyze model performance and monitor portfolio trends, including market and macroeconomic trends, to identify opportunities for Stripe to reduce potential credit losses
Quantify and clearly convey the outcomes and organizational value of data-driven insights to a diverse range of interested parties, from team members to executive management
Function as a second line to ensure we are conforming to our credit standards and partner obligations
Coordinate and lead stakeholder meetings to pinpoint areas for enhancing the efficiency and effectiveness of operational processes
Collaborate with cross-functional stakeholders such as Treasury, Accounting, Product, Data Science, Engineering, and Capital Markets to shape new product development
Help scale risk processes by working with partners to design and optimize outsourced workflows, including facilitating stakeholder sessions for process improvement
Write data queries and build clear data dashboards to evaluate portfolio performance

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

Advanced degree in statistics, economics, decision science, or a related field, with a strong emphasis on quantitative analysis and data-driven decision-making.
Proven experience (7+ years) in portfolio management, risk management, audit or lending within the financial services industry
Strong analytical, quantitative, and problem-solving abilities, with a rigorous, data-driven approach
Proficient at writing complex and efficient SQL queries and spreadsheet tools (e.g., Excel, Google Sheets), with experience building data queries and dashboards
Demonstrated ability to collaborate effectively with cross-functional stakeholders and manage deliverables in a fast-paced, unstructured environment
Ability to manage multiple stakeholders and work in a complex environment

Preferred qualifications

Experience with advanced statistical methods
Programming experience i.e. Python, Ruby, Java
Superior communication and relationship management skills, with experience in data storytelling
Experience with credit scoring models
Experience with stress testing requirements and methodologies including CCAR and DFAST

Required profile