Finance
Financial Risk Modeling and Credit Scoring with Posit
Bridging the gap between R and Python to deliver production-grade credit risk simulations.
Table of contents
The Challenge: Disconnected Risk Workflows
Addressing friction points in financial modeling and cross-team collaboration.
Secure Development in Posit Workbench
Setting up a secure environment using Positron and corporate SSO credentials.
AI-Accelerated Project Exploration
Using the Positron Assistant to gain an instant overview of complex project directories.
Visualizing Loan Data at a Glance
Filtering and inspecting sensitive credit data without leaving the development environment
Deploying the Python Credit Risk API
Hosting a Python-based credit risk API on Posit Connect for secure consumption.
Bridging the Language Gap
Using Shiny Assistant to refactor R application code to call Python API endpoints.
Delivering Insights to Stakeholders
Finalizing and sharing polished loan applications with credit analysts to drive decisions.
Additional Resources
Learn from other financial industry leaders
Automating Underwriting: How Gen Re Saves 600 Hours Daily with AI on Posit
Data Science Hangout with Capital One
Cutting down iteration cycles for credit rating models at KBRA with Posit
