Lending involves risk and in order to be a successful lender at scale that risk needs to be mitigated. We'll be discussing how C2FO has built a suite of risk management tools for underwriting and portfolio management using the PyData ecosystem, rpy2 (for integrating R), and Spyre (for building a simple web application).
Engineering a sophisticated in-house risk management solution for a commercial lending platform doesn't necessarily need to involve millions of lines of low-level code, clunky desktop applications, fancy front-end development, or messy spreadsheets. That is, so long as the problem is approached objectively and the solutions are evaluated critically.
This talk will focus on the basics of lending risk mitigation (related to underwriting and portfolio management), a high-level overview of the architectural requirements, and the packages that were leveraged along the way; namely:
Most importantly we'll share a demo of the web application to see how it all comes together. To be clear, this IS NOT a product offering or any kind or SaaS; it was built to be used internally and generalizes well for other use cases.