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Citi • Pune, Maharashtra, India
Role & seniority: Test Strategy Lead (2+ years in consumer credit risk/testing; mid-level to senior practitioner)
Stack/tools: Credit risk decisioning platforms and rules engines; automated regression and UI testing; testing tools and automation frameworks; SQL; SAS (preferred); AI/ML testing experience a plus
Develop and maintain test strategies and test plans for credit risk models, decisioning engines, and business rules
Design and execute test scripts; ensure alignment with risk policies, regulatory requirements, and operational accuracy
Collaborate with credit risk, IT, product, and compliance; manage risk controls, defect tracking, and test metrics
Experience executing test strategies for credit risk systems or decision engines
Automated regression and UI testing proficiency; strong knowledge of risk decisioning platforms and rules engines
SQL (and SAS preferred); ability to analyze test results and translate into actionable improvements
Effective communication to senior management; risk controls and monitoring mindset
Certifications or master's in credit risk, financial analysis, or software testing
Experience incorporating AI/ML into risk testing processes
Strong background in risk identification, escalation management, policy/regulation, and process execution
Location & work type: Location and work type not specified; roles imply possible hybrid/remote options
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, ensuring test cases accurately reflect all risk factors, decision rules, and regulatory compliance requirements. 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, including credit risk, IT, product development, and compliance, to ensure effective integration of business rules and risk models. Risk Management & Controls: Implement and maintain strong risk management practices throughout the testing process, identifying potential issues and mitigate risks associated with new credit risk strategies. Continuous Improvement: Drive ongoing improvements in test methodologies, tools, and processes to enhance efficiency, effectiveness, and accuracy across credit risk-related testing activities. Reporting & Documentation: Ensure accurate reporting of test results, including defect tracking, resolution, and metrics that reflect test effectiveness and coverage. Maintain thorough documentation of test strategies and processes. Educational Background: Bachelor's degree in a relevant field (e.g., finance, risk management, information technology). A master's degree or certifications in credit risk, financial analysis, or software testing is a plus. Experience: 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, providing actionable insights to improve overall testing processes. Communication Skills: Strong verbal and written communication skills, with the ability to convey complex test results and credit risk insights to senior management and stakeholders. Technology & Innovation: Strong understanding of technology platforms, automation tools, and data analytics that support risk model/strategy testing and validation. Experience incorporating AI/ML into credit risk testing processes is preferred. Analytical Thinking, Constructive Debate, Escalation Management, Industry Knowledge, Policy and Procedure, Policy and Regulation, Process Execution, Product Knowledge, Risk Controls and Monitors, Risk Identification and Assessment. ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------