Information Risk Analyst - AI/ML

Job Title: Information Risk Analyst - AI/ML

Duration: 12 months (W2 Contract only)

Location: Portland, OR (Remote)

Work Hours: 8-5; Remote or Hybrid; open to non-local candidates; this position has the opportunity for an extension

Key-skills: AI/ML Knowledge, Cybersecurity Expertise, Risk Management, Compliance and Regulatory Knowledge, Analytical and Critical Thinking, Collaboration and Communication, AI Ethics and Responsibility, Technical Proficiency, Continuous Learning, Project Management

Position Summary: We are seeking a knowledgeable and analytical Information Risk Analyst specializing in AI to join our Information Risk Management (IRM) team. This role involves evaluating and mitigating risks associated with the implementation and use of generative AI technologies within our organization, including models like Anthropic Claude 3 and Microsoft Azure GPT-4.

Key Priorities:

• Get up to speed with current on-premise AI implementations.
• Understand client's data sets.
• Start analyzing best practices and risks associated with generated AI.

Key Responsibilities:

• Conduct comprehensive risk assessments of generative AI systems, identifying potential vulnerabilities and threats.
• Collaborate with cross-functional teams to design and implement robust AI security measures.
• Ensure compliance with relevant legal, regulatory, and industry standards related to AI and data privacy.
• Develop and maintain risk management frameworks and policies specific to AI applications.
• Perform regular audits and assessments to monitor the effectiveness of risk mitigation strategies.
• Provide expert guidance on AI ethics and responsible AI practices.
• Prepare detailed reports and presentations on risk assessment findings and recommendations for senior management.
• Stay updated with the latest advancements in AI, cybersecurity, and risk management practices.

Required Skills:

• Understanding of AI/ML concepts, algorithms, and models.
• In-depth familiarity with cybersecurity principles and practices.
• Understanding of IT infrastructure, cloud platforms (AWS, Azure, Google Cloud), and their security protocols.

Nice-To-Have Skills:

• Ability to think analytically and critically about potential risks.
• Ability to work effectively with cross-functional teams, including data scientists, IT professionals, legal advisors, and business leaders.
• Strong sense of ethics and responsibility regarding AI deployment and its societal impacts.

Education and Certification Requirements:

• Any AI certifications (preferred).
• CIAP certification (nice to have).
• 5-10 years of risk experience, including at least 2 years in AI.