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Credit Risk Manager
Greenboxcapital · Remote · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Greenboxcapital |
| Title | Credit Risk Manager |
| Normalized title | - |
| Department / team | Risk and Analytics |
| Location | United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-03-27 / 2026-05-30 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Greenboxcapital. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Risk and Analytics. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Greenboxcapital |
| Source | 97b39809-a151-4208-aa4d-32b80feb4fa4 |
| ATS provider | BambooHR |
Description
Credit Risk Manager - (US Remote)
Why this Role Matters:
The Credit Risk Manager 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 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, 401K with employer match
🧠 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
Full job record
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| Org ID | 58098d1d-e345-4061-8576-b9d07a1907a4 |
| Source ID | 97b39809-a151-4208-aa4d-32b80feb4fa4 |
| Board ID | 97b39809-a151-4208-aa4d-32b80feb4fa4 |
| Provider | bamboohr |
| Provider Job Key | 157 |
| Title | Credit Risk Manager |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | — |
| Department | Risk and Analytics |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://greenboxcapital.bamboohr.com/careers/157 |
| Apply URL | https://greenboxcapital.bamboohr.com/careers/157 |
| First Seen At | 2026-05-30 06:01:01Z |
| Last Seen At | 2026-06-06 10:23:31Z |
| Last Checked At | 2026-06-06 10:23:31Z |
| Last Changed At | 2026-06-06 10:23:31Z |
| Inactive At | — |
| Source Posted At | 2026-03-27 00:00:00Z |
| Source Updated At | — |
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"description": "<p><span style=\"font-size: 14pt; font-weight: bold\">Credit Risk Manager - (US Remote)</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Why this Role Matters:</span></p>\n<p>The Credit Risk Manager 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.</p>\n<p><br></p>\n<p>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.</p>\n<p><br></p>\n<p>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.</p>\n<p><br></p>\n<p>This role reports to the VP of Credit Risk & Analytics and <span>leads </span><span>a </span><span>team </span><span>within </span><span>the </span><span>Risk </span><span>Analytics </span><span>function.</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">What Success Looks Like:</span></p>\n<p><span style=\"font-size: 12pt\">Here’s how your time might break down (actual time can shift depending on business needs):</span></p>\n<ul>\n<li><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Decisioning Frameworks & Analytics</span> – Driving approval strategy, segmentation, and portfolio optimization</span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Model Performance & Optimization</span> – Improving model accuracy and business impact</span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Data Strategy & Vendor Evaluation</span> – Identifying and integrating high-value data sources</span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Cross-Functional Impact</span> – Supporting underwriting, finance, and product with actionable insights</span></li>\n</ul>\n<p><span style=\"font-size: 12pt\"> </span></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">How you’ll be measured:</span></p>\n<ul>\n<li><span style=\"font-weight: bold\">Portfolio Management</span>\n<ul>\n<li>Manage portfolio performance through segmentation, cohort analysis, and strategy refinement</li>\n<li>Evaluate portfolio trends and risk concentrations to proactively adjust credit strategies</li>\n<li>Balance approval growth with portfolio quality and return objectives</li>\n</ul>\n</li>\n</ul>\n<ul>\n<li><span style=\"font-size: 12pt; font-weight: bold\">Decisioning Framework Ownership: </span>\n<ul>\n<li><span style=\"font-size: 12pt; font-weight: bold\"> </span><span style=\"font-size: 12pt\">Build and continuously improve credit decisioning frameworks that drive approval strategy, pricing, and portfolio outcomes</span></li>\n<li>Own and optimize offer strategy across acquisition channels, customer segments, and risk tiers</li>\n<li>Drive portfolio management strategies balancing growth, credit quality, and profitability</li>\n<li>Develop and refine verification strategies to improve fraud detection, identity validation, and operational efficiency</li>\n<li>Monitor approval funnels and conversion performance to identify opportunities for growth optimization<br></li>\n</ul>\n</li>\n<li><span style=\"font-size: 12pt; font-weight: bold\">Model Performance & Business Impact: </span>\n<ul>\n<li><span style=\"font-size: 12pt\">Evaluate and refine model performance using business KPIs, improving predictive accuracy and decision quality</span></li>\n</ul>\n</li>\n<li><span style=\"font-weight: bold\"><span>Cross-</span><span>Functional </span><span>Influence & </span><span>Execution: </span></span>\n<ul>\n<li><span>Partner </span><span>effectively </span><span>across </span><span>teams </span><span>to </span><span>translate </span><span>analytics </span><span>into </span><span>clear, </span><span>actionable </span><span>business </span><span>decisions</span><br></li>\n</ul>\n</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">You’re a Strong Fit if You:</span></p>\n<ul>\n<li><span>Demonstrate </span><span>strong </span><span>analytical </span><span>thinking </span><span>and </span><span>can </span><span>solve </span><span>complex </span><span>credit </span><span>risk </span><span>problems </span><span>using </span><span>data</span></li>\n<li><span>Have </span><span>proven </span><span>leadership </span><span>ability, </span><span>including </span><span>managing </span><span>and </span><span>developing </span><span>high-</span><span>performing </span><span>teams</span></li>\n<li><span>Thrive </span><span>in </span><span>fast-</span><span>paced, </span><span>ambiguous </span><span>environments </span><span>and </span><span>can </span><span>prioritize </span><span>effectively</span></li>\n<li><span>Communicate </span><span>clearly, </span><span>translating </span><span>technical </span><span>findings </span><span>into </span><span>business </span><span>recommendations</span></li>\n<li><span>Are </span><span>highly </span><span>organized </span><span>with </span><span>strong </span><span>attention </span><span>to </span><span>detail </span><span>and </span><span>ownership </span><span>mindset</span></li>\n<li><span>Show </span><span>curiosity </span><span>and </span><span>continuously </span><span>seek </span><span>to </span><span>improve </span><span>systems, </span><span>models, </span><span>and </span><span>outcomes</span></li>\n<li><span>Adapt </span><span>well </span><span>in </span><span>a </span><span>global, </span><span>distributed </span><span>team </span><span>environment </span><span>and </span><span>collaborate </span><span>effectively </span><span>across </span><span>functions</span><br></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">What You’ve Done Before:</span></p>\n<ul>\n<li><span>Bachelor’s </span><span>degree </span><span>in </span><span>mathematics, </span><span>statistics, </span><span>economics, </span><span>finance, </span><span>or </span><span>a </span><span>related </span><span>field </span><span>required; </span><span>advanced </span><span>degree </span><span>preferred</span></li>\n<li><span>5–</span><span>10 </span><span>years </span><span>of </span><span>experience </span><span>in </span><span>credit </span><span>risk </span><span>analytics, </span><span>preferably </span><span>in </span><span>small </span><span>business </span><span>lending, </span><span>non-</span><span>prime, </span><span>or </span><span>high-</span><span>risk </span><span>environments</span></li>\n<li><span>2+ </span><span>years </span><span>of </span><span>leadership </span><span>experience </span><span>managing </span><span>and </span><span>developing </span><span>teams</span></li>\n<li><span>Proven </span><span>success </span><span>building </span><span>or </span><span>enhancing </span><span>modern </span><span>credit </span><span>decisioning </span><span>frameworks</span></li>\n<li><span>Demonstrated </span><span>impact </span><span>driving </span><span>business </span><span>outcomes </span><span>through </span><span>analytics </span><span>and </span><span>modeling</span><br></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Tools and Expertise You’ll Bring:</span></p>\n<ul>\n<li><span>Strong </span><span>proficiency </span><span>in </span><span>SQL, </span><span>Python, </span><span>and </span><span>Excel</span></li>\n<li><span>Solid </span><span>understanding </span><span>of </span><span>statistical </span><span>modeling </span><span>and </span><span>model </span><span>performance </span><span>evaluation </span><span>techniques</span></li>\n<li><span>Experience </span><span>working </span><span>with </span><span>large </span><span>datasets </span><span>and </span><span>credit </span><span>decisioning </span><span>systems</span></li>\n<li><span>Familiarity </span><span>with </span><span>modern </span><span>data </span><span>platforms (</span><span>e.</span><span>g., </span><span>Snowflake, </span><span>Databricks) </span><span>and </span><span>BI </span><span>tools</span></li>\n<li><span>Strong </span><span>understanding </span><span>of </span><span>credit </span><span>underwriting </span><span>processes, </span><span>policy </span><span>design, </span><span>and </span><span>segmentation </span><span>strategies</span><br></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">What to Expect from Our Interview Process</span></p>\n<p><span style=\"font-size: 12pt\">We believe in a respectful, efficient, and transparent hiring experience. Here’s what you can expect (subject to changes depending on role):</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Step 1: Initial Phone Screen (30 minutes)</span><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Step 2: Hiring Manager Interview (1 hour)</span><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Step 3: Interview with CEO</span><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Step 4: Onsite Interview with Leadership</span><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Step 5: Offer & Background Check</span><br></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">What's In It For You:</span></p>\n<p><span style=\"font-size: 12pt\">💸 Competitive Pay - We know your worth and we pay accordingly.</span></p>\n<p><span style=\"font-size: 12pt\">🌴 Flexible PTO - Work hard, rest well. Take the time you need to recharge.</span></p>\n<p><span style=\"font-size: 12pt\">🏡 Remote - Fully remote within the U.S., working Eastern Time hours to keep everyone aligned.</span></p>\n<p><span style=\"font-size: 12pt\">🩺 Full Benefits Package - Health, dental, vision, 401K with employer match</span></p>\n<p><span>🧠 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</span></p>\n<p><br></p>",
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