Pave.dev 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, gen-z, 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.
At Pave, you will have the opportunity to develop the foundational systems, tools, and processes the next generation of fintech startups are being built upon. We’re constructing the insights layer that lives between raw fintech data sources and the applications ingesting them.
We are looking for a data scientist with a strong background in data infrastructure, ML, and NLP. Our ideal candidate is someone who is eager to build models that are ready to meet the growing needs of our customers. We are forging our platform (scaling from millions of transactions to billions!) and you will have direct influence over the systems and architecture we implement.
On a day to day basis, you will work with our product and engineering teams to develop unique methodologies to solve challenging problems--can we predict account overdrafts? Can we build a loan default risk model? Can we recommend spending budgets for a given user?
You’ll be leading data science projects from start to finish, so you should be ready to: