The Petal mission
Petal’s mission is to bring financial opportunity and innovation to everyone.
We're pioneering a new approach to credit, enabling Petal Card* applicants to leverage their banking history, in addition to their credit history, to establish their creditworthiness. Our proprietary Cash Scoring technology takes applicants’ income, spending, and savings into account and is helping traditionally underserved consumers across the United States access honest, simple and responsible credit, even if they’ve never had it before.
We bring the same ingenuity to Petal Card products. Our simple and intuitive app gives members access to credit score tracking, budgeting tools, subscription management, and automated payment options—everything they need to make financial progress.
Now more than ever, Americans need help improving their credit safely, responsibly, and affordably. If this sounds like something you’d like to be a part of, apply now, and let’s change this trillion-dollar industry together.
At Petal, we're looking for people with kindness, positivity, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and potential will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Petal, we welcome diverse perspectives from people who think rigorously and aren't afraid to challenge assumptions.
*Petal Cards are issued by WebBank, Member FDIC
We are working on revolutionizing credit through usage of personal cash flow in underwriting. Achieving this objective requires best in class models that are continuously being improved making the data science function critical for this mission. These models will support our risk underwriting, acquisition and customer management teams. That’s why, at Petal, we’re launching a search for a highly-experienced Director of Data Science from the credit card industry to join our talented and mission-driven team. The ideal candidate has a successful track record of growing and overseeing a Data Science function in consumer credit, has organized and managed team members, and has the ability to imbue a fast-moving startup culture with an appreciation and reliance forward thinking machine learning decision modeling.
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