• Own the company’s credit risk and analytics strategy, ensuring funding offers remain competitive and underwriting processes are efficient and scalable. • Monitor portfolio performance and proactively drive changes to approval criteria. • Continuously evolve Greenbox pricing strategies to balance competitiveness, return targets, and market shifts. • Manage and improve fraud prevention strategies. • Work closely with Data Science to improve risk prediction models. • Partner with Underwriting to deploy policy and with Sales to ensure offer competitiveness. • Develop Greenbox’s data analytics platform to ensure data availability to the entire organization, including PowerBI and Databricks. • Lead a small analytics team (Excel + Python), managing incoming analytics requests across departments. • Build dashboards for each department’s KPIs and partner with them on insights. • Collaborate with data science and data engineering teams on infrastructure development to progress the analytics platforms and risk models. • Drive improvements in underwriting operations with vendor implementations and better data sources. • Partner with Product to deliver automation initiatives, ensuring underwriting policy can evolve with speed and scale. • Collaborate with Collections to analyze default trends and integrate learnings into risk strategy.