Head of AI
Zinnia
PythonSQL
VP of Risk and Analytics
Greenbox Capital
full-time
Posted on:
Origin: • 🇺🇸 United States • Florida
Visit company websiteSalary
💰 $190,000 - $200,000 per year
Job Level
Lead
Tech Stack
PythonSQL
About the role
- 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.
Requirements
- 8+ years in credit risk for lending products, preferably in small business lending, alternative finance or revenue-based financing
- Minimum of 5+ years of people leadership experience, including building, coaching, and developing high-performing teams
- A Bachelor's degree in Finance, Economics, Statistics, Mathematics, or relevant major
- Have meaningful experience overseeing large balance sheets through macro shifts and can articulate strategies to navigate
- Deep quantitative acumen; masterful with portfolio management, pricing strategies, IRR analysis, unit economics, and predictive modeling
- Experience managing BI analytics teams and collaborating with Data Science teams
- Proficiency with SQL, Python, Business Intelligence Tools, and Excel
- Proven track record of creativity, building new risk strategies in a highly competitive atmosphere
- Comfortable with operating in dynamic and evolving environments
- Customer-centric in approach, strong awareness of accounting impacts
- Strong relationship-building, clear communication, emotional intelligence, tact
