Senior Manager, Risk Analytics & Decision Science - (US Remote)

Why 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 and leads a team within the Risk Analytics function.

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 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

How you’ll be measured:

Decisioning Framework Ownership - Build and continuously improve credit decisioning frameworks that drive approval strategy, pricing, and portfolio outcomes
Model Performance & Business Impact - Evaluate and refine model performance using business KPIs, improving predictive accuracy and decision quality
Cross-Functional Influence & Execution - Partner effectively across teams to translate analytics into clear, actionable business decisions

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

What to Expect from Our Interview Process

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)

Step 2: Hiring Manager Interview (1 hour)

Step 3: Interview with CEO

Step 4: Onsite Interview with Leadership

Step 5: Offer & Background Check

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

Compensation: $190,000-210,000