Senior Manager Credit, Group Portfolio Manager - IFRS 9 Modelling & Reporting at I&M Bank

Job Purpose: 

• The role is responsible for the end-to-end Expected Credit Loss (ECL) process, ensuring compliance with IFRS 9 standards, technical governance & oversight, CBK Prudential Guidelines, accounting standards and internal credit risk policies. It involves managing the Bank’s ECL model, performing variance analysis, and providing insights on asset quality to senior management and the Board. This role extends to I&M Kenya and for the I&M Group entities to ensure the Bank’s Expected Credit Loss (ECL) framework is streamlined and accurate across the Group.
• Additionally, the role is also to support portfolio-level credit reporting within the Credit Risk function, enhanced analytics, ensuring compliance with internal credit policy and CBK prudential guidelines. 

Key Responsibilities: 
IFRS 9 Governance & Compliance:

• Ensure IFRS 9 operationalization, review, and continuous improvement of IFRS 9 policies and methodologies across the Group.  
• Ensure full compliance with IFRS 9 requirements, Central Bank regulations, and internal risk frameworks.  
• Develop, manage, and validate end-to-end ECL models for various banking segments, ensuring accurate impairment estimation. 
• Maintain robust documentation of models, assumptions, and methodologies. 
• Custodian of Group IFRS 9 Models and FLI Models. Generating ECL/impairment numbers for reporting. Credit Risk Modeling - updating model assumptions; Probability of Default, Cure Rates, Recovery Rates and Loss Given Default. 
• Coordinating all External and Internal Audits pertaining to Credit Department and address audit findings related to IFRS 9, including remediation plans and stakeholder engagement.  

ECL Modelling & Methodology:

• Develop, validate, and enhance ECL models (PD, LGD, EAD) as and when required. 
• Provide support qualitative and quantitative analysis of ECL estimation for the Group. 
• Ensure valid staging criteria (Stage 1, 2, 3) and Significant Increase in Credit Risk (SICR) assessments.  
• Ensure forward-looking macroeconomic overlays are appropriately incorporated.  
• Perform monthly ECL reviews, including variance, attribution and scenario analysis.
• Conduct back-testing, sensitivity analysis, and stress testing of models.  

Data, Analytics & Reporting:

• Executed IFRS 9 Models for the Bank and Subsidiaries, generate impairment numbers for reporting. 
• Manage data quality with other team including IT, maintain credit loss forecasts for planning, and drive process automation. Ensure data integrity, completeness, and appropriateness for IFRS 9 calculations.  
• Perform detailed portfolio analytics to support provisioning decisions.  
• IFRS 9 ECL and CBK provisions reconciliation. 
• Provide timely and accurate IFRS 9 impairment reports for management, Board, and regulators.  
• Interpret model outputs and provide actionable insights to senior management. 
• Providing analytical support and analysis through daily and monthly credit reporting to stakeholders. Presentation of all required MIS – Analytics and Dashboards.  

Audit & Stakeholder Management: 

• Act as the primary contact for internal and external auditors on IFRS 9 matters.  
• Provide technical explanations and defend modelling assumptions and outputs.  
• Collaborate with Risk, Finance, Credit, and IT teams to ensure alignment and data availability. 
• Support regulatory inspections and reviews.  

Model Risk Management:

• Establish and maintain a strong model governance framework.  
• Coordinate independent model validation and periodic reviews. 
• Monitor model performance and recommend recalibration where necessary.  

Systems & Process Improvement:

• Drive automation and efficiency in IFRS 9 computation processes.  
• Work closely with IT to enhance modelling tools and reporting systems (e.g., core banking, data warehouses).  
• Leverage advanced Excel and statistical tools for modelling and analysis.  
• Supporting any Bank project relating to credit reporting aspects. 
• Supporting in the Credit Department Budgetary process.  

Academic Qualifications & Work Experience: 

• Bachelor’s degree in Actuarial Science, Statistics, Mathematics and/ or a related quantitative field.  
• Professional qualifications in Actuarial Science or progress towards certification (highly preferred).  
• Minimum of 5 years’ experience in banking, with at least 3 years in IFRS 9 modelling or credit risk analytics.  
• Strong understanding of IFRS 9 standards, impairment frameworks, and regulatory expectations.  
• Strong analytical, stakeholder management, and communication skills.
• Proven experience in addressing audit and regulatory findings.  

Technical Competencies: 

• Advanced proficiency in statistical modelling techniques (regression, time series, probability modelling).  
• Strong knowledge of credit risk modelling components (PD, LGD, EAD).  
• Excellent Excel skills (advanced functions, pivot tables). 
• Familiarity with data analytics tools (e.g., SQL, Python, R) is an added advantage. 
• Strong understanding of banking products, credit lifecycle, and risk management practices.  

Behavioral Competencies: 

• Strong analytical and problem-solving skills.  
• High attention to detail and accuracy.  
• Ability to communicate complex technical concepts to non-technical stakeholders.  
• Strong stakeholder management and collaboration skills. 
• High level of integrity and professional judgment.  

Key Deliverables: 

• Accurate and compliant IFRS 9 impairment calculations.  
• Timely resolution of audit findings related to IFRS 9.  
• Robust and well-documented ECL models.  
• Enhanced data quality and reporting efficiency.  
• Clear and insightful management reports on credit risk and provisioning. 
• Accurate and timely reporting to all stakeholders.