PazaJobs

Credit Risk Strategy and Analytics

Stripe · Remote
Remote FULL TIME MID_LEVEL 3130 Risk & Reward United States 150.000–200.000 USD

Depaza has read the full posting at the employer and structured it for you.

Responsibilities

  • Architect and implement credit policies based on Stripe's proprietary data and selected industry data to target, price, and size capital products
  • Utilize your analytical and technical skills to provide credit risk recommendations, deliver insights, and support strategic business decisions
  • Collaborate with cross-functional teams, such as Product, Data Science, Engineering, and Capital Markets to shape new product development across different geographies and industries
  • Incorporate third-party data, including bureau, bank account, financial statements, and less traditional data, into our credit assessment
  • Analyze account activity and monitor portfolio trends to identify opportunities for Stripe to reduce potential credit losses
  • Help scale risk processes by working with partners to design and optimize outsourced workflows

Requirements

  • 5+ years of experience in credit analysis and underwriting
  • Bachelor's degree in finance, economics, statistics, or a related field
  • Experience in risk management, financial lending, or core credit risk management function
  • Strong analytical skills and a rigorous, data-driven approach to problem-solving
  • Experience working with both internal and external stakeholders and the ability to closely manage expectations and deliverables in a timely manner
  • Ability to thrive in an unstructured and fast-moving organization
  • Strong technical expertise, including SQL, excel, google sheets
  • Self-starter who can work independently

Skills

  • Credit Analysis
  • Underwriting
  • Risk Management
  • SQL
  • Excel
  • Google Sheets
  • Python
  • R
  • Stata
  • Credit Scoring Models
  • Machine Learning
  • Financial Lending
  • Data Analysis
  • Stakeholder Management
  • Credit Policy
  • Portfolio Management
  • Financial Statements Analysis
  • Cross-functional Collaboration
  • Process Optimization
  • Strategic Decision Support
  • Quantitative Analysis
  • Statistical Analysis
  • Economics
  • Finance
  • Capital Markets
  • Product Development
  • Third-party Data Integration
  • Bureau Data
  • Bank Account Data
  • Traditional Data
  • Non-traditional Data
  • Account Activity Analysis
  • Portfolio Trend Analysis
  • Credit Loss Reduction
  • Outsourced Workflow Design
  • Workflow Optimization
  • Risk Framework
  • Underwriting Framework
  • Data-driven Problem Solving
  • Expectation Management
  • Deliverable Management
  • Independent Work
  • Self-starter
  • Fast-moving Organization
  • Unstructured Environment
  • Technical Expertise
  • Communication Skills
  • Relationship Management
  • Results Communication
  • Impact Driving
  • Business Decision Support
  • Risk Initiatives Management
  • End-to-end Risk Management
  • Credit Assessment
  • Industry Best Practices
  • Novel Solutions Development
  • Platform Integration
  • Engineering Collaboration
  • Data Science Collaboration
  • Product Collaboration
  • Servicing Team Collaboration
  • Capital Markets Collaboration
  • Geographic Expansion
  • Industry Diversification
  • Proprietary Data Utilization
  • Industry Data Utilization
  • Capital Product Targeting
  • Capital Product Pricing
  • Capital Product Sizing
  • Credit Risk Recommendations
  • Insight Delivery
  • Strategic Business Decision Support
  • New Product Development
  • Geographic Product Development
  • Industry Product Development
  • Credit Scoring
  • Machine Learning Team Collaboration
  • Results Communication
  • Impact Driving
  • Risk Process Scaling
  • Partner Collaboration
  • Outsourced Workflow Design
  • Outsourced Workflow Optimization
  • Credit Policy Architecture
  • Credit Policy Implementation
  • Proprietary Data Analysis
  • Industry Data Analysis
  • Capital Product Management
  • Analytical Skills
  • Technical Skills
  • Credit Risk Management
  • Financial Analysis
  • Statistical Analysis
  • Economic Analysis
  • Data Analysis
  • Problem Solving
  • Stakeholder Management
  • Expectation Management
  • Deliverable Management
  • Time Management
  • Adaptability
  • Fast-paced Environment
  • Unstructured Environment
  • Technical Expertise
  • SQL
  • Excel
  • Google Sheets
  • Python
  • R
  • Stata
  • Credit Scoring Models
  • Machine Learning
  • Communication Skills
  • Relationship Management
  • Results Communication
  • Impact Driving
  • Self-starter
  • Independent Work
  • Team Collaboration
  • Cross-functional Collaboration
  • Product Development
  • Geographic Expansion
  • Industry Diversification
  • Data Integration
  • Third-party Data
  • Bureau Data
  • Bank Account Data
  • Financial Statements
  • Traditional Data
  • Non-traditional Data
  • Account Activity
  • Portfolio Trends
  • Credit Losses
  • Risk Processes
  • Outsourced Workflows
  • Workflow Design
  • Workflow Optimization
  • Risk Framework
  • Underwriting Framework
  • Data-driven Approach
  • Problem-solving
  • Internal Stakeholders
  • External Stakeholders
  • Expectations
  • Deliverables
  • Timely Manner
  • Organization
  • Technical Expertise
  • Independence
  • Quantitative Tools
  • Master's Degree
  • Finance
  • Economics
  • Statistics
  • Related Field
  • Communication
  • Relationship Management
  • Credit Scoring
  • Machine Learning
  • Results
  • Impact
  • Credit Analysis
  • Underwriting
  • Risk Management
  • Financial Lending
  • Core Credit Risk Management
  • Analytical Skills
  • Data-driven Approach
  • Problem-solving
  • Internal Stakeholders
  • External Stakeholders
  • Expectations
  • Deliverables
  • Timely Manner
  • Unstructured
  • Fast-moving
  • Organization
  • SQL
  • Excel
  • Google Sheets
  • Self-starter
  • Independence
  • Python
  • R
  • Stata
  • Master's Degree
  • Finance
  • Economics
  • Statistics
  • Related Field
  • Communication
  • Relationship Management
  • Credit Scoring Models
  • Machine Learning Teams
  • Results
  • Impact
  • Credit Policy
  • Risk Framework
  • Underwriting Framework
  • Data Assets
  • Recommendations
  • Partners
  • Third-party Data
  • Team
  • Autonomy
  • Responsibility
  • Risk Initiatives
  • Credit Policies
  • Proprietary Data
  • Industry Data
  • Capital Products
  • Analytical Skills
  • Technical Skills
  • Credit Risk Recommendations
  • Insights
  • Strategic Business Decisions
  • Cross-functional Teams
  • Product
  • Data Science
  • Engineering
  • Capital Markets
  • Product Development
  • Geographies
  • Industries
  • Third-party Data
  • Bureau
  • Bank Account
  • Financial Statements
  • Traditional Data
  • Credit Assessment
  • Account Activity
  • Portfolio Trends
  • Credit Losses
  • Risk Processes
  • Partners
  • Outsourced Workflows
  • Credit Analysis
  • Underwriting
  • Finance
  • Economics
  • Statistics
  • Related Field
  • Risk Management
  • Financial Lending
  • Core Credit Risk Management
  • Analytical Skills
  • Data-driven Approach
  • Problem-solving
  • Internal Stakeholders
  • External Stakeholders
  • Expectations
  • Deliverables
  • Timely Manner
  • Unstructured
  • Fast-moving
  • Organization
  • SQL
  • Excel
  • Google Sheets
  • Self-starter
  • Independence
  • Python
  • R
  • Stata
  • Master's Degree
  • Finance
  • Economics
  • Statistics
  • Related Field
  • Communication
  • Relationship Management
  • Credit Scoring Models
  • Machine Learning Teams
  • Results
  • Impact
  • Credit Policy
  • Risk Framework
  • Underwriting Framework
  • Data Assets
  • Recommendations
  • Partners
  • Third-party Data
  • Team
  • Autonomy
  • Responsibility
  • Risk Initiatives
  • Credit Policies
  • Proprietary Data
  • Industry Data
  • Capital Products
  • Analytical Skills
  • Technical Skills
  • Credit Risk Recommendations
  • Insights
  • Strategic Business Decisions
  • Cross-functional Teams
  • Product
  • Data Science
  • Engineering
  • Capital Markets
  • Product Development
  • Geographies
  • Industries
  • Third-party Data
  • Bureau
  • Bank Account
  • Financial Statements
  • Traditional Data
  • Credit Assessment
  • Account Activity
  • Portfolio Trends
  • Credit Losses
  • Risk Processes
  • Partners
  • Outsourced Workflows
  • Credit Analysis
  • Underwriting
  • Finance
  • Economics
  • Statistics
  • Related Field
  • Risk Management
  • Financial Lending
  • Core Credit Risk Management
  • Analytical Skills
  • Data-driven Approach
  • Problem-solving
  • Internal Stakeholders
  • External Stakeholders
  • Expectations
  • Deliverables
  • Timely Manner
  • Unstructured
  • Fast-moving
  • Organization
  • SQL
  • Excel
  • Google Sheets
  • Self-starter
  • Independence
  • Python
  • R
  • Stata
  • Master's Degree
  • Finance
  • Economics
  • Statistics
  • Related Field
  • Communication
  • Relationship Management
  • Credit Scoring Models
  • Machine Learning Teams
  • Results
  • Impact

Benefits

  • Competitive salary and equity
  • Health insurance
  • Learning and development budget
  • Flexible work arrangements
Who we are  About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Capital team is responsible for managing the end-to-end risk strategy for Stripe's lending product. The team is based in the US and Canada, and is composed of curious, driven, and analytical individuals who are passionate about using their skills to shape the future of Stripe. We partner closely with Stripe's engineering, data science, product, and servicing teams to leverage existing platforms, integrate industry best practices, and develop novel solutions to evaluate and manage credit risk. If you are interested in joining a fast-growing organization and applying your experience to shape the future of Stripe, we encourage you to apply. What you’ll do As a key member of the Capital team, you will have the opportunity to shape the future of Stripe's credit policy by driving meaningful changes to the risk and underwriting framework. You will leverage Stripe's vast data assets to formulate your recommendations and work closely with our partners and, where applicable, leverage third-party data. We are a small and lean team, which means you will have the autonomy and the responsibility to manage end-to-end risk initiatives. Responsibilities Architect and implement credit policies based on Stripe's proprietary data and selected industry data to target, price, and size capital products. Utilize your analytical and technical skills to provide credit risk recommendations, deliver insights, and support strategic business decisions. Collaborate with cross-functional teams, such as Product, Data Science, Engineering, and Capital Markets to shape new product development across different geographies and industries. Incorporate third-party data, including bureau, bank account, financial statements, and less traditional data, into our credit assessment. Analyze account activity and monitor portfolio trends to identify opportunities for Stripe to reduce potential credit losses. Help scale risk processes by working with partners to design and optimize outsourced workflows. Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 5+ years of experience in credit analysis and underwriting. Bachelor's degree in finance, economics, statistics, or a related field. Experience in risk management, financial lending, or core credit risk management function. Strong analytical skills and a rigorous, data-driven approach to problem-solving. Experience working with both internal and external stakeholders and the ability to closely. manage expectations and deliverables in a timely manner. Ability to thrive in an unstructured and fast-moving organization. Strong technical expertise, including SQL, excel, google sheets. Self-starter who can work independently. Preferred qualifications Experience with quantitative tools such as Python, R, or Stata. Master's degree in finance, economics, statistics, or a related field. Superior communication and relationship management skills. Experience with credit scoring models. Experience working with machine learning teams. Ability to communicate results clearly with a focus on driving impact.

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