We are seeking an experienced AI Governance & Model Risk Lead to establish responsible governance around artificial intelligence and machine-learning systems used within financial products and business operations.

The role combines AI knowledge, risk management, governance, data, and financial-services discipline.

The Opportunity

As fintech organizations increasingly use AI for decision support, customer intelligence, fraud prevention, forecasting, automation, and operational optimization, strong model governance becomes essential.

You will develop the frameworks required to understand how AI models are developed, validated, monitored, deployed, and retired.

Key Responsibilities

• Establish governance standards for AI and machine-learning models.
• Maintain an inventory of models and AI-enabled business processes.
• Define model-risk assessment and classification methodologies.
• Coordinate independent model validation and review activities.
• Establish requirements for model documentation and explainability.
• Monitor model performance, drift, limitations, and emerging risks.
• Work with data-science and engineering teams throughout the model lifecycle.
• Assess risks associated with third-party AI technologies.
• Support responsible-AI and data-governance initiatives.
• Develop controls around model access, deployment, monitoring, and change management.
• Prepare model-risk reporting for senior leadership.
• Support audits and regulatory reviews involving AI-enabled systems.
• Promote practical AI governance without unnecessarily restricting innovation.

Candidate Profile

• 6+ years of experience in model risk, data science governance, technology risk, AI governance, quantitative risk, or financial services.
• Strong understanding of machine-learning concepts and model lifecycles.
• Experience establishing governance frameworks or risk controls.
• Strong analytical and documentation capabilities.
• Understanding of data quality, model validation, and statistical concepts.
• Familiarity with financial-services risk environments.
• Ability to communicate technical model risks to senior non-technical stakeholders.

Technical & Analytical Environment

Experience with Python, SQL, machine-learning platforms, model-monitoring tools, cloud AI services, statistical modelling, data pipelines, and model-validation frameworks is valuable.

Why This Opportunity

You will help define how AI can be deployed responsibly within modern financial services—balancing innovation, transparency, security, performance, and risk control.

Ideal candidate: a technically literate governance professional who can challenge AI systems intelligently while helping engineering and data teams deploy useful models responsibly.

Are you interested in this position?

Apply by clicking on the “Apply Now” Button below!

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