Senior Manager, Risk Analytics & Decision Science

Senior Manager, Risk Analytics & Decision Science - (US Remote)At Greenbox Capital, we help small businesses thrive by giving them fast, accessible funding. As a Senior Manager, Risk Analytics & Decision Science, you'll play a key role in shaping the credit strategies that power our business. You'll drive results by building and optimizing decisioning frameworks, improving model performance, and uncovering insights that directly influence approval, pricing, and portfolio outcomes. Your work will directly support our growth by making our credit decisions smarter, faster, and more scalable. This role reports to the VP of Credit Risk & Analytics and leads a team within the Risk Analytics function. Here's how your time might break down (actual time can shift depending on business needs): Decisioning Frameworks & Analytics Driving approval strategy, segmentation, and portfolio optimization Model Performance & Optimization Improving model accuracy and business impact Data Strategy & Vendor Evaluation Identifying and integrating high-value data sources Cross-Functional Impact Supporting underwriting, finance, and product with actionable insights You're a Strong Fit if You: Demonstrate strong analytical thinking and can solve complex credit risk problems using data Have proven leadership ability, including managing and developing high- performing teams Thrive in fast- paced, ambiguous environments and can prioritize effectively Communicate clearly, translating technical findings into business recommendations Are highly organized with strong attention to detail and ownership mindset Show curiosity and continuously seek to improve systems, models, and outcomes Adapt well in a global, distributed team environment and collaborate effectively across functions What You've Done Before: 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 Tools and Expertise You'll Bring: 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 We believe in a respectful, efficient, and transparent hiring experience. Here's what you can expect (subject to changes depending on role): Step 1: Initial Phone Screen (30 minutes) A brief conversation with a recruiter to learn more about your background, interests, and alignment with the role. Step 2: Hiring Manager Interview (1 hour) A deeper discussion about the role, your relevant experience, and how you'd contribute to the team. Step 3: Role-Specific Assessment or Panel Interview (1 hour) Depending on the role, this may include a take-home assignment, technical interview, or live case study with team members. Step 4: Final Interview or Leadership Chat (1 hour) A final conversation with senior leadership or cross-functional team members to ensure alignment with our mission and values. Step 5: Offer & Background Check If it's a mutual fit, we'll move forward with background check and present a competitive offer. What's In It For You: 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 Strong Team Work with collaborative, curious, and high- performing teammates