Risk Manager - ECL Modeling

Risk Manager - ECL Modeling Experience: Minimum 5 years Work Location: Banking Client - Staff Augmentation Employment Type: Full-Time Working Days: Monday to Friday Working Hours: 10:30 AM - 7:00 PM Role Overview: We are seeking an experienced Risk Manager - ECL Modeling to support our leading banking client across multiple ongoing risk management and ECL modeling projects. The role will involve development, validation, implementation, monitoring, and enhancement of Expected Credit Loss (ECL) models, with a strong focus on credit risk analytics, statistical modeling, regulatory requirements, and stakeholder management. The ideal candidate should have strong hands-on experience in PD, LGD, CCF, TTC, PIT, ODR, ECL methodologies, credit risk management, and Basel capital adequacy frameworks, along with proficiency in analytical tools such as SQL and Python. Key Responsibilities: - Support the development, enhancement, and implementation of IFRS 9 ECL models. - Perform ECL calculations and portfolio-level credit risk assessments. - Analyze portfolio trends, credit behavior, migration patterns, and key risk parameters impacting ECL. - Support staging assessment methodologies, macroeconomic overlays, and forward-looking adjustments. - Perform model performance monitoring, back-testing, sensitivity analysis, and validation. - Work with risk parameters including PD, LGD, CCF, TTC, PIT, and ODR. - Prepare dashboards, MIS, analytical reports, and presentations for senior management and risk committees. - Analyze macroeconomic variables and assess their impact on ECL computation. - Support internal and external audits related to ECL and credit risk models. - Ensure adherence to applicable IFRS 9, Basel, regulatory, and accounting requirements. - Collaborate closely with Finance, Business, IT, Audit, and Regulatory stakeholders for effective implementation of ECL methodologies. - Support credit risk management and capital adequacy assessments. - Contribute to model development, validation, monitoring, documentation, and continuous improvement initiatives. - Manage project deliverables effectively while maintaining quality and meeting defined timelines. Required Skills & Expertise: - Minimum 5 years of relevant experience in Credit Risk / ECL Modeling / Risk Analytics. - Strong understanding of ECL methodologies and IFRS 9. - Hands-on experience in development or implementation of PD, LGD, CCF, scorecards, or rating models. - Strong knowledge of credit risk management and banking practices. - Good understanding of TTC, PIT, ODR, and capital adequacy. - Knowledge of Basel regulations and capital computation. - Understanding of macroeconomic variables and their impact on credit risk and ECL. - Experience in statistical modeling, model validation, monitoring, and back-testing. - Proficiency in SQL, Python, or similar analytical tools. - Strong analytical, logical, problem-solving, and data interpretation skills. - Excellent written and verbal communication skills. - Strong stakeholder management and presentation capabilities. Educational Qualifications: - CA - First Attempt / Rank Holder, or - MBA / Masters Degree in Statistics, Economics, or a related quantitative discipline from Tier-1 institutions. Preferred Certifications: - Certifications or demonstrated proficiency in SQL, Python, Statistical / Analytical Tools, and Risk Management / Credit Risk. Preferred Work Experience Geography: - Candidates with prior experience in India, Middle East, or APAC markets will be preferred. Key Performance Metrics: - Timely delivery of project milestones and deliverables. - Adherence to organizational processes, quality standards, and methodologies. - Project profitability and efficient utilization of resources. - Positive client feedback and stakeholder satisfaction. - Feedback from reporting managers, counselors, and project team members. - Quality and accuracy of analytical outputs and model-related deliverables. Key Behavioral Expectations: - Demonstrates a strong ownership mindset and accountability for deliverables. - Strong analytical and logical thinking with a solution-oriented approach. - Excellent business writing and oral communication skills. - Collaborative and partnership-oriented approach. - Ability to work effectively as part of a cross-functional team. - Ability to manage challenging, complex, and time-sensitive projects. - Positive and proactive approach toward problem-solving and continuous improvement. - Strong commitment to creating value for the client and organization. Engagement Details: Engagement Type: Long-Term Staff Augmentation / Loan Staff Deployment Engagement Duration: Minimum 1 Year Working Days: 5 Days - Monday to Friday Working Hours: 10:30 AM - 7:00 PM