Job Description
Model Development
Own end to end development of credit risk models across the lifecycle: application, behavioral/Early Warning Signals, collections & recoveries, pricing & profitability, and IFRS 9 PD/LGD/EAD components as applicable.
Set and steward fit for purpose methodologies (segmentation, feature engineering, modelling approach, calibration, cut off design, fairness/explain ability).
Ensure high quality, audit ready documentation (Methodology, data lineage, variable dictionaries, etc.) aligned to Group Model Risk Policy (GMRP) and internal standards.
Drive peer review and reproducibility (code control, evidence packs) primarily in SAS & Excel.
Conduct due diligence on vendor models (methodological fit, data requirements, limitations); where appropriate, assume ownership as if internally built.
Deliver the book of work on time, aligned to scope, budget and AR country priorities; proactively manage risks and dependencies.
Execute targeted analytics on demand to inform modelling decisions and portfolio strategies.
Model Risk Governance
On time submissions to Independent Validation Unit; minimize rework by ensuring scope clarity, evidence completeness and stakeholder pre alignment.
Ensure no overdue findings (validation, audit, regulatory) via disciplined action tracking, root cause remediation and evidenced closure.
Uphold policy and control environment (GMRP, documentation standards, change control, annual reviews), and hold Model Owners to account for governance obligations.
Coordinate management responses to auditors/regulators; prepare concise briefing packs that demonstrate model suitability, accuracy and use.
Provide independent challenge on methodology choices, data quality, and usage constraints to reduce model risk.
Implementation & Monitoring Enablement
Translate model design into implementation specifications; support parallel runs, reconciliations, and cutover with clear back out criteria.
Define monitoring thresholds/triggers (e.g., stability, discrimination, back testing) and develop monitoring templates.
Ensure robust handover to Model Owners for ongoing monitoring, accuracy reviews and model owner reviews; verify capability and accountability in markets.
Oversee vendor model implementation and integration; verify consistency with prototype and policy adherence.
Support business usage/adoption through practical guidance and performance translation.
Stakeholder & People Leadership
Lead a mixed team (AVPs + contingent workers) with clear objectives, code/documentation standards, and coaching on modelling craft and communication.
Train markets on model methodology, usage and monitoring practices; build self-sufficiency and succession in-country.
Maintain senior level engagement with Group Model Risk, IVU, Group Finance and Country Risk leadership; provide transparent updates on delivery, issues and value.
Plan capacity, allocate resources across priorities, manage budgets and maintain a predictable delivery rhythm.
Preferred Education
BSc (Honours) / Master's in Statistics, Econometrics, Mathematics, Actuarial Science, Data Science, or related quantitative field.
6 - 8+ years in credit risk model development (PPB & BB) including IFRS 9 components, application & behavioral scorecards and pricing & profitability modelling/analytics.
Proven track record of on time model approvals and closure of validation/audit findings.
Experience engaging with validators, auditors and regulators; strong governance discipline.
Leadership of permanent and contingent teams; market training across multiple countries (African experience advantageous).
Knowledge & Technical Skills
Advanced SAS & Excel for development, reconciliations and monitoring (SQL/Python beneficial).
Strong grounding in statistical/econometric methods (logistic/linear models, calibration, back testing, stability, discrimination metrics, etc.).
Deep understanding of IFRS 9 (PD/LGD/EAD, staging, macro linkages, impairment governance) and model risk policy.
Executive level communication; able to translate complex results into business relevant decisions.
Measures of Success
On time model delivery and IVU submission; first time approval rate; no overdue findings.
Model accuracy and stability (back testing, impairment performance; avoidance of material over/under prediction).
Business adoption of model outputs with measurable value.
Monitoring readiness (clear thresholds, templates, handover quality); adherence to governance milestones.
Capability uplift (training coverage, improved documentation quality, reduced rework) across markets and team.
Education
Bachelor`s Degrees and Advanced Diplomas: Business, Commerce and Management Studies (Required)
End Date: January 26, 2026