Information Security Consultant managing security standards implementation at LUZA Group in Lisbon, Portugal. Handling analysis of risk and supporting audits while working in a hybrid model.
About the role
- AI Governance & Security Architect responsible for developing governance frameworks for AI adoption in financial operations at UMB, ensuring security and compliance.
Responsibilities
- Define and implement enterprise-wide AI governance frameworks to ensure responsible, ethical, and compliant use of AI in financial operations.
- Develop and enforce AI security standards aligned with regulatory requirements (e.g., FFIEC, OCC, GLBA, GDPR, ISO 42001, NIST AI RMF).
- Partner with risk, compliance, and legal teams to create policies covering AI model lifecycle management, bias detection, explainability, and auditability.
- Oversee secure AI/ML solution deployment in both on-premises and cloud environments (AWS, Azure, GCP), ensuring robust data protection and encryption practices.
- Conduct AI security risk assessments, threat modeling, and red team testing for generative AI and predictive models.
- Establish monitoring frameworks for AI systems to track drift, anomalies, and adversarial threats.
- Provide architectural guidance on integrating AI platforms with existing banking systems (ACH, RTP, Wires, Core Banking, Payment Hubs).
- Lead AI security incident response and ensure remediation processes meet financial regulatory standards.
- Serve as a subject matter expert for internal stakeholders on AI governance, regulatory compliance, and ethical AI adoption.
- Mentor junior architects and engineers in AI governance and cybersecurity best practices.
Requirements
- Bachelor’s degree in Computer Science, Cybersecurity, Data Science, or related field and at least 7 years of professional experience in enterprise architecture, information security, or technology governance in financial services, OR equivalent combination of education and work experience.
- Proven track record of implementing governance frameworks, risk management strategies, and compliance programs for emerging technologies.
- Familiarity with financial services regulations and security requirements.
- Experience collaborating with auditors, regulators, and compliance teams.
- Strong understanding of AI/ML lifecycle management, including model development, validation, deployment, and monitoring.
- Knowledge of data governance principles, MDM (Golden Record, Canonical Models), and regulatory compliance in financial services.
- Proficiency in cloud-native AI/ML platforms (AWS SageMaker, Bedrock, Azure AI, GCP Vertex).
- Familiarity with security frameworks (NIST, ISO 27001/42001, CIS Controls).
- Ability to translate complex AI and security concepts into business-friendly language.
Benefits
- Paid Time Off
- 401(k) matching program
- Annual incentive pay
- Paid holidays
- Comprehensive company sponsored benefit plan including medical, dental, vision, and other insurance coverage
- Health savings, flexible spending, and dependent care accounts
- Adoption assistance
- Employee assistance program
- Fitness reimbursement
- Tuition reimbursement
- Associate wellbeing program
- Associate emergency fund
- Various associate banking benefits
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