Manager ECL(Expected Credit Loss) Analyst- Pune

• Accurately compute monthly Expected Credit Loss (ECL) per Ind AS/IFRS9 or relevant standards.
• Collect, clean, and validate data inputs for accuracy and consistency.
• Analyse data quality, identify anomalies, and take corrective actions.
• Perform reconciliations and sensitivity analyses to validate results against portfolio risk.
• Deliver monthly ECL results within deadlines to support financial reporting and decisions.

• Design and develop quantitative ECL models incorporating PD, LGD, and EAD parameters.
• Conduct validation to assess model performance, stability, and regulatory compliance.
• Update and recalibrate models based on new data, market changes, or regulations with version control.
• Conduct scenario and sensitivity analyses for macroeconomic impact assessment.
• Document methodologies, assumptions, and validation results for transparency and audit.
• Collaborate with data scientists, risk analysts, and IT for model enhancement and integration.

• Liaise with Risk Management to align ECL models with risk appetite and frameworks.
• Work with Finance to ensure ECL consistency with financial reporting and compliance.
• Respond to data/reporting requests from rating agencies, banks, and stakeholders.
• Facilitate knowledge sharing workshops to improve ECL calculation accuracy.
• Serve as contact for queries on ECL methodologies, assumptions, and data interpretation.

• Serve as the primary contact during audits, supplying documentation and clarifications related to ECL model/calculation, NPA, and asset quality.
• Prepare responses to regulators and submit accurate credit risk and provisioning data timely.
• Implement remedial actions for audit and regulatory findings to improve compliance.
• Stay updated on regulatory requirements affecting ECL reporting and asset classification.
• Support regulator reviews by ensuring data transparency and methodological consistency.

• Prepare detailed ECL reports for management, auditors, regulators, highlighting key insights.
• Maintain comprehensive documentation of processes, calculations, and assumptions for audit readiness.
• Lead automation initiatives for ECL calculations and reporting using SQL/BI tools.
• Continuously evaluate and improve processes for accuracy, speed, and reliability.
• Monitor and report benefits of automation such as time savings, error reduction, and compliance improvements.

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