Senior Manager, Risk Analytics & Decision Science

Senior Manager, Risk Analytics & Decision ScienceWhy this Role Matters: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.What Success Looks Like: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 optimizationModel Performance & Optimization – Improving model accuracy and business impactData Strategy & Vendor Evaluation – Identifying and integrating high-value data sourcesCross-Functional Impact – Supporting underwriting, finance, and product with actionable insightsHow you’ll be measured:Decisioning Framework OwnershipBuild and continuously improve credit decisioning frameworks that drive approval strategy, pricing, and portfolio outcomesModel Performance & Business ImpactEvaluate and refine model performance using business KPIs, improving predictive accuracy and decision qualityCross-Functional InfluencePartner with Underwriting, Finance, Product, and Data teams to translate insights into clear, actionable business decisionsYou’re a Strong Fit if You:Demonstrated ability to analyze complex credit risk problems and drive data-informed decisionsStrong leadership skills with the ability to manage, mentor, and influence teamsThrive in ambiguous, fast-paced environments and can prioritize effectivelyCommunicate clearly and can translate technical findings into business recommendationsBring a high level of structure, attention to detail, and ownershipAre naturally curious, continuously learning, and motivated to improve systems and outcomesWhat You’ve Done Before:Bachelor’s degree in mathematics, statistics, economics, finance, or related field required; advanced degree preferred5–10 years of experience in credit risk analytics, ideally in small business lending, non-prime, or high-risk environments2+ years of leadership experience managing and developing teamsProven success building or enhancing modern credit decisioning frameworksDemonstrated impact driving business outcomes through analyticsTools and Expertise You’ll Bring:Strong proficiency in SQL, Python, and ExcelSolid understanding of statistical modeling and performance evaluation techniquesExperience working with large datasets and decisioning systemsFamiliarity with modern data platforms (e.g., Snowflake, Databricks) and BI toolsStrong knowledge of credit underwriting processes, policy, and segmentation strategiesWhat to Expect from Our Interview ProcessWe believe in a respectful, efficient, and transparent hiring experience. Here’s what you can expect: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 CheckIf 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🧠 Smart, Supportive Teammates - Collaborate with sharp minds who are kind, driven and uphold our core values: Commitment, Communication, Teamwork, Service and Integrity!Originally posted on Himalayas