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The individual will be responsible for developing and managing comprehensive test strategies, test plans, and test scripts that ensure the accurate integration of credit risk strategies and business rules across multiple teams and platforms. This role focuses on testing the implementation of Credit strategies ensuring that testing processes support the organization’s broader credit risk initiatives and driving continuous improvements in testing methodologies.
Job Responsibility:
Test Strategy Development: Lead the creation of comprehensive test strategies for credit risk models, decisioning engines, and business rules that drive consumer lending and credit risk assessments
Test Plan Design: Oversee the development of detailed test plans, including scope, objectives, resources, schedules, and deliverables, ensuring alignment with the credit risk framework
Test Script Creation: Design and execution of test scripts that validate credit risk rules integration
Credit Risk Rules Integration: Ensure that all test cases are aligned with credit risk policies and that any changes in strategy are properly tested for functional and operational accuracy before deployment
Collaboration & Stakeholder Engagement: Work closely with cross-functional teams
Risk Management & Controls: Implement and maintain strong risk management practices throughout the testing process
Continuous Improvement: Drive ongoing improvements in test methodologies, tools, and processes
Reporting & Documentation: Ensure accurate reporting of test results, including defect tracking, resolution, and metrics
Requirements:
Bachelor's degree in a relevant field (e.g., finance, risk management, information technology)
2+ years of experience in consumer credit risk management or financial services, with experience executing test strategies for credit risk systems or decision engines
Technical Proficiency: Automated regression and user interface testing
Strong knowledge of credit risk decisioning platforms and rules engines
Experience with testing tools and automation testing frameworks
Knowledge in SQL and SAS preferred
Analytical Mindset: Ability to analyze test results and credit risk impacts
Communication Skills: Strong verbal and written communication skills
Technology & Innovation: Strong understanding of technology platforms, automation tools, and data analytics that support risk model/strategy testing and validation
Nice to have:
A master’s degree or certifications in credit risk, financial analysis, or software testing is a plus
Experience incorporating AI/ML into credit risk testing processes is preferred