AI Risk Leader for Enterprise Transformation

Crossell Limited; Zürich; Hybrid; CHF 128.000 - 192.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Performance-based bonus

Global benefits

Zusammenfassung

Swiss Re is seeking a Senior AI Risk Manager to ensure AI-enabled transformation delivers business value within risk appetite and governance standards. You will lead risk identification, assessment and coordination across a group-wide AI programme, partnering with senior leaders to challenge business cases and monitor risk exposure.

The role requires 8+ years in insurance/reinsurance, practical AI risk understanding, and the ability to translate complex risks into clear, decision-relevant

Qualifikationen

• 8+ years of experience in the insurance or reinsurance industry.
• Hands-on business experience in Risk Management or other control functions.
• Practical understanding of AI and AI-related risks across the lifecycle.

Aufgaben

• Lead risk identification, assessment, mitigation and coordination across Swiss Re's AI programme.
• Partner with project teams and senior leaders to identify material risks and critical decisions.
• Independently challenge business cases and solution designs, including financial assumptions.
• Assess and strengthen governance, controls and guardrails across the AI lifecycle.
• Provide senior management with concise risk-focused advice for decision points.
• Coordinate input from AI Governance, Model Validation, Risk Management, Legal and Compliance.
• Strengthen Swiss Re's AI risk community through coaching and guidance.

Kenntnisse

AI risk understanding

Executive advisory

Strategic judgement

Stakeholder management

Jobbeschreibung

Swiss Re is seeking a Senior AI Risk Manager to ensure AI-enabled transformation delivers business value within risk appetite and governance standards. You will lead risk identification, assessment and coordination across a group-wide AI programme, partnering with senior leaders to challenge business cases and monitor risk exposure.

The role requires 8+ years in insurance/reinsurance, practical AI risk understanding, and the ability to translate complex risks into clear, decision-relevant