- • Develop, implement, and continuously improve an end-to-end model governance framework
- • Establish and maintain a comprehensive model inventory
- • Develop and implement model lifecycle management covering conceptualization, development, validation, implementation, monitoring, and decommissioning
- • Work with Data Governance, Product teams, Model Development, and Data Asset Managers
- • Provide guidance and training on model governance policies, procedures, and best practices
- • Champion a robust model governance culture
- • Identify, assess, and monitor model risks and establish mitigating controls
- • Ensure compliance with internal policies, APRA, BCBS 239, industry regulations, and audit requirements
- • Facilitate internal and external model audits and address findings and recommendations
- • Oversee independent model validation
- • Establish and manage model performance monitoring, including performance, stability, and data quality reporting
- • Define and track KPIs and KRIs for model governance effectiveness
- • Ensure comprehensive model documentation covering purpose, assumptions, limitations, data sources, and methodologies
- • Prepare model risk and governance status updates for senior management, governance groups, steering committees, and councils
- • Mentor and guide junior resources and align cross-functional Equifax teams

Requirements

- Bachelor's degree in a quantitative field such as Finance, Mathematics, Statistics, Economics, Computer Science, or a related discipline




- Minimum 7–10 years of experience in model risk management, model governance, or model validation within a financial institution or highly regulated industry
- Minimum 5–10+ years of experience in data science techniques
- Deep understanding of credit risk modelling techniques
- Ideally, specific data science model development experience across the credit lifecycle
- Demonstrated experience developing and implementing model governance frameworks
- Strong understanding of regulatory requirements related to model risk management
- Excellent analytical and problem-solving skills with strong attention to detail
- Solid understanding of model types including credit risk, market risk, operational risk, ALM, and pricing models
- Proficiency in data analysis tools and programming languages such as Python, R, or SAS is a plus
- Exceptional communication, interpersonal, and presentation skills
- Strong project management and organisational skills, with ability to manage multiple priorities and deadlines
- Ability to work independently and as part of a team in a fast‑paced environment
- Data governance certifications are an advantage
- Experience in Credit Risk roles in Banking, Finance, Telco,



or Utility sectors is advantageous
- Experience in analytics and Responsible AI implementation and solutions
- Experience mentoring or leading teams of model and data governance specialists or managers
- Experience dealing with internal senior executives and external regulators

Core Competencies

Demonstrates expertise in developing and implementing model governance frameworks, ensuring compliance with regulatory requirements, and managing model risk within financial institutions. Proficient in data analysis and model validation, with strong leadership and mentoring capabilities.

Highest-signal resume keywords

- Model Governance Framework Development
- Model Risk Management
- Credit Risk Modelling Techniques
- Data Analysis Tools (Python, R, SAS)
- Regulatory Compliance (APRA, BCBS 239)

ATS Optimization Keywords

Hard Skills

- Model Lifecycle Management
- Model Performance Monitoring
- Model Validation
- Data Quality Reporting
- KPI and KRI Tracking
- Model Documentation
- Data Science Techniques
- Credit Risk Modelling
- Analytical Skills
- Problem-Solving Skills

Soft Skills

- Communication Skills
- Interpersonal Skills
- Presentation Skills
- Project Management Skills
- Organizational Skills

Certifications & Qualifications

- Data Governance Certifications

Industry Keywords

- Financial Institution
- Highly Regulated Industry
- Credit Risk
- Market Risk
- Operational Risk
- ALM
- Pricing Models
- Analytics
- Responsible AI
- Model Audits

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📌 Head of Model Governance (Melbourne)
🏢 Jobtailor
📍 Melbourne