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JOB SUMMARY
Responsible for monthly ECL calculation and data validation per Ind AS/IFRS9, ensuring accurate, timely financial reporting. Develops and validates quantitative ECL models, collaborating with Risk, Finance, and IT teams to maintain regulatory compliance. Leads audit coordination, stakeholder reporting, and automation efforts to enhance process efficiency and accuracy.
QUALIFICATIONS
- MBA in Finance or Master’s degree in Economics or Statistics; (certification in IFRS modelling is a plus)
- Proficiency in ECL modelling techniques including PD, LGD, and EAD estimation.
- Strong analytical, problem-solving, and communication skills, with the ability to document complex methodologies clearly.
- Advanced skills in data analysis and manipulation using SQL, Excel, and BI tools; programming knowledge (Python, R) is a plus.
- Excellent understanding of regulatory requirements and audit processes related to credit risk and provisioning
TECHNICAL SKILLS
- Expected Credit Loss (ECL) calculation and credit risk modelling (PD, LGD, EAD)
- Knowledge of accounting standards: Ind AS, IFRS.
- Model development and validation techniques, including scenario and sensitivity analysis.
- Data analysis and validation using SQL and advanced Excel (pivot tables etc.)
- Experience with statistical programming languages such as Python or R or any other to create Chaid models.
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ROLE & RESPONSIBILITY
1. Monthly ECL Calculation & Data Validation
- 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.
2. ECL Model Development & Validation
- 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.
3. Cross-Functional Collaboration
- 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.
4. Regulatory & Audit Coordination
- 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.
5. Reporting & Process Automation
- 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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