The Model Risk & Validation Specialist independently reviews and monitors banking and risk models to ensure they remain reliable, fit for purpose, and compliant with model risk management standards and BSP regulatory requirements. The role spans model validation, ongoing monitoring, effective challenge, issue tracking, and model risk oversight, contributing to stronger model governance and regulatory readiness across a range of models.

Responsibilities

Conduct independent reviews of risk and Non-AI/ML models prior to implementation.
Assess model methodology, assumptions, data sources, performance, limitations, documentation, and intended use.
Review model changes, including recalibration, redevelopment, methodology changes, and changes in model application or scope.
Identify model risks and gaps and provide effective challenge and recommendations.
Review model monitoring results and assess performance metrics, thresholds, stability indicators, back-testing results, and model limitations.
Identify performance deterioration, threshold breaches, emerging risks, and concerns regarding continued model fitness.
Evaluate root-cause analyses and proposed remediation plans.
Recommend appropriate actions, including recalibration, enhancement, redevelopment, watchlisting, or retirement.
Prepare model validation reports, monitoring assessments, and other model risk documentation.
Track findings, remediation plans, and closure of identified issues.
Support model inventory, validation tracking, monitoring dashboards, and regulatory reporting.
Support Model Risk Management Framework initiatives and BSP regulatory requirements.

Required Qualifications

Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Engineering, Finance, Risk Management, Computer Science, or a related quantitative field.
At least 5 years of experience in Model Validation, Model Risk Management, Model Monitoring, Risk Analytics, Quantitative Analytics, or a related function.
Strong analytical and critical-thinking skills.
Strong technical documentation skills.

Preferred Qualifications

Experience in banking or financial services.
Familiarity with IFRS 9/ECL.
Experience with credit risk models or other banking risk models.
Experience with SQL, Python, R, SAS, or similar analytical tools.