AI Technical Governance Specialist (Finance, Hybrid - Helsinki/Copenhagen/Stockholm)

Taastrup, Capital Region
Posted 1 month, 1 week ago
Information Technology (IT)

About the role

Job summary

This role focuses on managing technical risks associated with AI and agentic systems, emphasizing technical architecture, infrastructure, and operational risks. The position involves collaboration with engineering, architecture, and information security teams to ensure responsible AI adoption and compliance with regulations.

Qualifications

  • Bachelor's or Master's degree in Business, Engineering, Risk Management, or a related Legal discipline.
  • Over 5 years of experience in software engineering, AI/ML engineering, or platform engineering.
  • Familiarity with AI platforms and infrastructure, particularly in financial services.
  • Understanding of information security principles as they pertain to AI systems.

Responsibilities

  • Support AI initiatives with technical expertise and collaborate with colleagues on model and business risk.
  • Work with senior technical stakeholders to develop governance approaches for emerging AI risks.
  • Assess AI platforms and architectures from technical and security perspectives.
  • Contribute to risk-based governance frameworks and approval processes for AI implementations.
  • Develop AI governance standards, including risk assessment criteria and operational guidelines.
  • Provide input on vendor risk assessments related to AI solutions.
  • Establish governance controls for AI experimentation and production environments.
  • Innovate governance strategies in the evolving AI landscape.

Skills

  • Strong analytical and problem-solving abilities with attention to detail.
  • Effective communication skills for engaging with both technical and non-technical stakeholders.
  • Experience with cloud platforms (e.g., AWS, GCP) in an AI context.

Education

  • BSc or MSc in a relevant field.

Tools

  • Familiarity with regulatory frameworks and compliance in financial services.
  • Understanding of data governance and privacy considerations for AI.
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