B2B online point-of-sale financing platform
Revolutionizing point-of-sale lending in Brazil comes with a distinct set of challenges. One of those challenges is building an innovative underwriting model that rivals those seen at leading fintech lenders across the world.
We are looking for someone that is excited at the prospect of solving some of the most interesting and complex analytical challenges facing modern lending. You will be tasked with pushing our decision engine and underwriting policies forward so that we can serve a vast range of companies. If the new positive credit reports and open banking regulations get you excited about the possibilities, this is the role for you.
This role requires a combination of credit risk assessment skills (credit policies, scoring, etc.), technical skills (data & statistical analysis, experiment design & execution,) and an unrivaled ability to push yourself and the team to new levels of innovation.
Your objective will be carrying out the analysis of the data used in the credit engine – using knowledge of statistics, marketing, project management and machine learning. We want a professional who understands the problem well, doing everything from extracting and processing data to presenting those findings in a way that can drive decision making.
We work with cross-functional teams across the globe, so you should be someone who enjoys collaborating with teammates in a distributed environment. You will have a lot of resources, both on the team and externally, but it will be your responsibility to proactively problem solve and move the underwriting model forward.
To apply for this job please visit cialdnb.bamboohr.com.