Credit Risk Manager
đ Worldwide
Management
Python
Finance
Snowflake
Data Science
Analyst
$190,000-220,000 + Bonus
Credit Risk Manager
from đ Worldwide
$190,000-220,000 + Bonus
Credit Risk Manager - (US Remote)
Why this Role Matters:
The Credit Risk Manager serves as a key operator within Greenbox Capitalâs 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 andleadsateamwithintheRiskAnalyticsfunction.
What Success Looks Like:
Hereâs how your time might break down (actual time can shift depending on business needs):
- Decisioning Frameworks & Analytics â Driving approval strategy, segmentation, and portfolio optimization
- Model Performance & Optimization â Improving model accuracy and business impact
- Data Strategy & Vendor Evaluation â Identifying and integrating high-value data sources
- Cross-Functional Impact â Supporting underwriting, finance, and product with actionable insights
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How youâll 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:Â
- Â 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:Â
- Evaluate and refine model performance using business KPIs, improving predictive accuracy and decision quality
- Cross-FunctionalInfluence &Execution:Â
- Partner effectivelyacrossteamstotranslateanalyticsintoclear,actionablebusinessdecisions
- Partner effectivelyacrossteamstotranslateanalyticsintoclear,actionablebusinessdecisions
Youâre a Strong Fit if You:
- Demonstratestronganalyticalthinkingandcansolvecomplexcreditriskproblemsusingdata
- Haveprovenleadershipability,includingmanaginganddevelopinghigh-performingteams
- Thriveinfast-paced,ambiguousenvironmentsandcanprioritizeeffectively
- Communicateclearly,translatingtechnicalfindingsintobusinessrecommendations
- Arehighlyorganizedwithstrongattentiontodetailandownershipmindset
- Showcuriosityandcontinuouslyseektoimprovesystems,models,andoutcomes
- Adaptwellinaglobal,distributedteamenvironmentandcollaborateeffectivelyacrossfunctions
What Youâve Done Before:
- Bachelorâsdegreeinmathematics,statistics,economics,finance,orarelatedfieldrequired;advanceddegreepreferred
- 5â10yearsofexperienceincreditriskanalytics,preferablyinsmallbusinesslending,non-prime,orhigh-riskenvironments
- 2+yearsofleadershipexperiencemanaginganddevelopingteams
- Provensuccessbuildingorenhancingmoderncreditdecisioningframeworks
- Demonstratedimpactdrivingbusinessoutcomesthroughanalyticsandmodeling
Tools and Expertise Youâll Bring:
- StrongproficiencyinSQL,Python,andExcel
- Solidunderstandingofstatisticalmodelingandmodelperformanceevaluationtechniques
- Experienceworkingwithlargedatasetsandcreditdecisioningsystems
- Familiaritywithmoderndataplatforms (e.g.,Snowflake,Databricks)andBItools
- Strongunderstandingofcreditunderwritingprocesses,policydesign,andsegmentationstrategies
What to Expect from Our Interview Process
We believe in a respectful, efficient, and transparent hiring experience. Hereâs 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:
đ¸ Competitive Pay - We know your worth and we pay accordingly.
đ´ Flexible PTO - Work hard, rest well. Take the time you need to recharge.
đĄ Remote - Fully remote within the U.S., working Eastern Time hours to keep everyone aligned.
𩺠Full Benefits Package - Health, dental, vision, 401K with employer match
đ§ 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







