Head of Model Governance

Equifax

Head of Model Governance building model risk frameworks for Equifax, a global data, analytics, and technology company. Overseeing validation, compliance, monitoring, documentation, and stakeholder governance across Australia and New Zealand.

Posted 8/5/2026full-timeMelbourne • 🇦🇺 AustraliaLeadWebsite

Core Competencies

Role fit

Core Competencies

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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 DevelopmentModel Risk ManagementCredit Risk Modelling TechniquesData Analysis Tools (Python, R, SAS)Regulatory Compliance (APRA, BCBS 239)

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Applicant Tracking System Keywords

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Hard Skills

Model Lifecycle ManagementModel Performance MonitoringModel ValidationData Quality ReportingKPI and KRI TrackingModel DocumentationData Science TechniquesCredit Risk ModellingAnalytical SkillsProblem-Solving Skills

Soft Skills

Communication SkillsInterpersonal SkillsPresentation SkillsProject Management SkillsOrganizational Skills

Certifications & Qualifications

Data Governance Certifications

Industry Keywords

Financial InstitutionHighly Regulated IndustryCredit RiskMarket RiskOperational RiskALMPricing ModelsAnalyticsResponsible AIModel Audits

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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 strong 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

What you’ll need

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

Benefits

Comp & perks

Friday flexibility to work remotely
Career advancement opportunities
Learning and development support
Inclusive and diverse work environment
Employee engagement and recognition
Equal Opportunity employment
Reasonable accommodation support for applicants