Senior Manager of Risk Analytics

About the role

Senior Manager of Risk Analytics - (US Remote)

Why this Role Matters:

The Senior Manager of Risk Analytics 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.

The ideal candidate brings strong credit risk and portfolio management experience, deep familiarity with predictive modeling and decision science concepts, and the ability to translate analytics into practical business decisions. This role does not require a pure data scientist, but does require someone who can effectively leverage data science capabilities to improve credit and business outcomes.

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:

Portfolio Management

Manage portfolio performance through segmentation, cohort analysis, and strategy refinement

Evaluate portfolio trends and risk concentrations to proactively adjust credit strategies

Balance approval growth with portfolio quality and return objectives

Decisioning Framework Ownership:

Build and continuously improve credit decisioning frameworks that drive approval strategy, pricing, and portfolio outcomes

Own and optimize offer strategy across acquisition channels, customer segments, and risk tiers

Drive portfolio management strategies balancing growth, credit quality, and profitability

Develop and refine verification strategies to improve fraud detection, identity validation, and operational efficiency

Monitor approval funnels and conversion performance to identify opportunities for growth optimization

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 decision.

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 Interview with People & Culture (30 minutes)

Step 2: Hiring Manager Interview (1 hour)

Step 3: Interview with CEO

Step 4: Interview with team members

Step 5: Case Study & Presentation 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

Posting text as published by Greenbox Capital.

The evidence behind this listing

Workplace

Remote Employer field

Seniority

senior From the job title

Employment type

full time

Location as listed

Remote, US

Pay and work authorization

Stated pay

Not stated

Visa sponsorship

Not stated

Security clearance

Not established

Citizenship

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