Data Modeller - Non-Financial Risk

Context

We are looking for an experienced Data Modeller to help shape and govern the data foundations of our Non-Financial Risk (NFR) landscape.

As a Data Modeller, you will work at the intersection of Risk, Compliance, Data Governance, Architecture, and Technology. You will translate complex risk management concepts into sustainable conceptual, logical, and physical data models that support reporting, risk management, governance, advanced analytics, and future AI use cases.

You will contribute to the design of an integrated data model for domains such as Operational Risk, Compliance Risk, IT Risk, Information Security Risk, Third-Party Risk, Model Risk, and Fraud Risk. These domains are core components of the Non-Financial Risk framework.

Missions

• Design and maintain conceptual, logical, and physical data models.
• Develop canonical models for Non-Financial Risk concepts such as:
  • Risks
  • Controls
  • Incidents
  • Issues
  • Action Plans
  • Key Risk Indicators (KRIs)
• Ensure consistency across operational systems, data lakes, reporting platforms, and governance tools.
• Work closely with business experts and IT.
• Translate business terminology and risk management concepts into clear and reusable data structures.
• Facilitate modelling workshops and challenge ambiguities in business definitions.
• Build and maintain a common business vocabulary and data glossary.
• Support data governance initiatives by defining ownership, metadata, lineage, and traceability.
• Ensure models align with governance standards, quality requirements, and regulatory expectations.
• Contribute to the documentation and management of critical data elements and risk indicators.

Tools & Environment

• Data modelling methodologies and standards
• Governance platforms such as Collibra or equivalent tooling
• Risk & control frameworks, KRIs, incidents, and controls management tools
• Data warehouses, data lakes, and cloud-based analytics environments (preferred)

Working Conditions

• Role focused on Non-Financial Risk domains including Operational Risk, Compliance Risk, IT Risk, Information Security Risk, Model Risk, Third-Party Risk, and Fraud Risk
• Opportunity to work at the intersection of Risk, Compliance, Data Governance, Architecture, and Technology

1. Proven experience in conceptual, logical, and physical data modelling
2. Strong understanding of data modelling methodologies and standards
3. Ability to bridge business and technical stakeholders
4. Strong analytical and problem-solving skills
5. Experience in one or more Non-Financial Risk domains: Operational Risk, Compliance Risk, IT Risk, Information Security Risk, Model Risk, Third-Party Risk, Fraud Risk
6. Experience with governance platforms such as Collibra or equivalent tooling
7. Knowledge of risk & control frameworks, KRIs, incidents, and controls management
8. Nice-to-have: background in Banking, Insurance, Risk, Compliance, or Regulatory Reporting
9. Nice-to-have: experience with data warehouses, data lakes, and cloud-based analytics environments