Pave is building a Cashflow API that allows fintech developers and data scientists to connect their data sources and retrieve clean & unified insights into their consumers’ spending habits, bills, earnings profile, and account health.
We're abstracting the data cleaning and transformation efforts necessary to get a single view of a consumer’s finances so that fintech companies can rapidly build budgeting features, recommendations engines, risk models, and more.
We believe that by lowering the friction of extracting financial insights from the growing number of data sources, we can help accelerate the development of innovative and inclusive financial products. We’re on a mission to enable builders to reinvent and lower the cost of financial services.
There are a growing number of companies helping people gain access to digital financial services, whether it’s low-interest loans, payment installment solutions, integrated insurance offerings, fee-less banking, personalized budgeting, wage advances, or investment solutions.
We believe financial services will exist for every consumer segment, especially underserved segments including female professionals, refugee communities, creators, immigrants, retirees, gig workers, and so forth. We are not original in this thought - this is already happening.
Building equitable financial services for underserved consumer segments requires expensive resources, infrastructure, and analysis into new types of datasets. However, the cost to clean, transform, and analyze these new datasets is high, and every company is forced to do the same bespoke work on the same data sources. This is significant time and cost, and impeding the mission around expanding financial inclusion.
We're 3x founders with a history of launching successful data products, and we're partnered with awesome fintech investors including Bessemer Ventures, Village Global, Better Tomorrow Ventures, 8VC, and execs from Coinbase, Chime, and Sofi.
At Pave, we’re building an API that adds context, insight, and meaning to the jumbled world that is personal transaction data. As Pave’s first data analyst, you will work to build and maintain the visualizations and analytics that accompany our API and contextualize our users’ data.
You’ll also work closely with our product and developer relations teams to build out new data features that directly improve the product experience. Collaboration, curiosity, and creativity are a must.
Timing is great - it's early enough that you'd get an opportunity to lead a wide range of projects and be closely involved in defining how we (and our customers) interpret financial data into insights that reveal consumer behavior and the merchants that they transact with.