Credit Risk Manager

🕒 July 8

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Greenbox Capital

51 - 200 employees

Founded 2012

Greenbox Capital is a direct funder in the merchant cash advance industry providing small businesses access to much needed working capital through merchant cash advances, invoice factoring and short-term small business loans. As a technology-driven alternative lender, Greenbox Capital’s enterprise solution, The Box, stands head and shoulders above other Fintech products. The Box increases deal security to brokers vastly improving the speed of funding and quality of underwriting for scaling and overhauls traditional means of obtaining capital with a seamless experience for the customer.

📋 Description

• The Credit Risk Manager serves as a key operator within Greenbox Capital’s credit organization, using analytics, predictive models, and portfolio insights to drive business growth and credit performance. • This role owns and evolves core credit strategies including offer strategy, portfolio management strategy, and verification strategy. • The individual partners closely with the VP of Credit Risk & Analytics to optimize approval outcomes, manage portfolio risk, improve funnel performance, and support scalable growth. • Manage portfolio performance through segmentation, cohort analysis, and strategy refinement. • Build and continuously improve credit decisioning frameworks that drive approval strategy, pricing, and portfolio outcomes. • Evaluate and refine model performance using business KPIs, improving predictive accuracy and decision quality. • Partner effectively across teams to translate analytics into clear, actionable business decisions.

🎯 Requirements

• Bachelor’s degree in mathematics, statistics, economics, finance, or a related field required; advanced degree preferred • 5–10 years of experience in credit risk analytics, preferably in small business lending, non-prime, or high-risk environments • 2+ years of leadership experience managing and developing teams • Proven success building or enhancing modern credit decisioning frameworks • Demonstrated impact driving business outcomes through analytics and modeling • Strong proficiency in SQL, Python, and Excel • Solid understanding of statistical modeling and model performance evaluation techniques • Experience working with large datasets and credit decisioning systems • Familiarity with modern data platforms (e.g., Snowflake, Databricks) and BI tools • Strong understanding of credit underwriting processes, policy design, and segmentation strategies

🏖️ Benefits

• Competitive Pay - We know your worth and we pay accordingly. • Flexible PTO - Work hard, rest well. Take the time you need to recharge. • Remote - Fully remote within the U.S., working Eastern Time hours to keep everyone aligned. • Full Benefits Package - Health, dental, vision, 401K with employer match • Smart, Supportive Teammates - Collaborate with sharp minds who are kind, driven and uphold our core values: Wear Green First, Pull the Thread, Move the Needle, Courage Over Comfort, Think Bold, Win Together, and Own the Outcome

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