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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading credit operations teams, implementing AI-enabled automation, and translating product strategies into operational capabilities. Strong background in financial risk modeling, stakeholder management, and developing high-performing teams to achieve strategic goals.
Highest-signal resume keywords
Credit Operations LeadershipFinancial Risk ModelingAI-Enabled Automation ImplementationStakeholder ManagementTeam Development and Coaching
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Commercial Credit UnderwritingCash-Flow ForecastingData AnalysisSQLPerformance Metrics ManagementQuality ControlOperational EfficiencyRisk MitigationFinancial Statement EvaluationProgram Design and Launch
Soft Skills
Strategic ThinkingProblem-SolvingCommunicationInfluencing SkillsCoaching
Tools & Technologies
AI-Enabled ToolsDashboardsInvestigative ToolsDecisioning Tools
Industry Keywords
Credit RiskOperational CapabilitiesUser-Centered ExperienceCompliance StandardsHigh-Growth Environment
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Lead and develop a team of credit operations analysts while setting a strategic vision for scalable, high-quality operations
- Translate product strategies into operational capabilities and appropriate credit controls
- Partner with Credit Strategy, Product, Engineering, and Data Science to launch new programs and advance AI-enabled automation across Credit Operations
- Set team priorities, goals, work plans, and operating mechanisms aligned with Credit’s broader strategy
- Evolve systems, processes, and the operating model to improve decision quality, mitigate emerging risks, and scale efficiently
- Assess credit and operational impacts of new and existing Stripe products and prepare Credit Operations for launch and ongoing support
- Partner with Risk leadership and cross-functional stakeholders on risk mitigation, operational efficiency, and user experience investments
- Test and implement automation using AI-enabled tools with quality controls and change management
- Define and manage operating metrics and service-level agreements; use performance insights and root-cause analysis to drive improvements
- Oversee credit-related vendor performance and applicable quality and compliance standards
- Assess capability needs and partner on hiring, workforce planning, and development strategies
- Lead, motivate, coach, and provide feedback to the Credit Operations team
Requirements
What you’ll need- 10-15 years of work experience in commercial credit underwriting
- 3-5 years of experience leading credit risk or underwriting teams in a fast-paced, high-growth environment
- Experience in financial risk modeling or cash-flow forecasting
- Proven track record of building, leading, and developing high-performing teams, including setting goals, managing performance, and coaching team members
- Strong strategic thinking and problem-solving skills with the ability to translate complex challenges into actionable solutions
- Excellent communication and stakeholder-management skills, with the ability to influence across functions
- Demonstrated experience designing, launching, and scaling programs, products, or operational capabilities from planning through implementation and measurement
- Experience using AI-enabled tools and partnering with technical and operational stakeholders to implement automation, including quality controls, change management, and team adoption
- Commitment to delivering a user-centered experience while effectively managing risk
- Experience supporting credit-related product launches or translating product capabilities into operational requirements, workflows, controls, and launch-readiness plans
- Strong knowledge of accounting principles and experience evaluating financial statements and business models across industries
- Experience analyzing data and creating dashboards using SQL
- Experience partnering with engineering teams to develop or improve investigative and decisioning tools