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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI Risk Management, including risk identification, assessment, measurement, monitoring, and governance, while effectively translating complex AI and risk topics into actionable requirements for stakeholders. Proven ability to lead cross-functional initiatives and negotiate with diverse teams in a highly regulated banking environment.
Highest-signal resume keywords
AI Risk ManagementRisk IdentificationRisk AssessmentNegotiation SkillsLeadership Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI RiskTechnology RiskCyber RiskData RiskModel RiskEnterprise Risk ManagementRisk Management FrameworksGovernanceRisk MeasurementRisk Monitoring
Soft Skills
CollaborationInfluenceCommunicationNegotiationLeadership
Industry Keywords
Highly Regulated IndustryBanking Risk ManagementRisk & ComplianceTransversal RiskGovernance Forums
About the role
Key responsibilities & impact- Build, implement, and sustain the newly established AI Risk program and supporting operating model
- Liaise across Risk & Compliance to identify and close gaps in oversight of AI as a transversal risk
- Support execution across the risk management lifecycle, including risk identification, assessment, measurement, monitoring, and governance
- Translate enterprise risk management principles and regulatory standards into practical AI risk requirements, processes, and governance routines
- Apply banking risk management framework knowledge to support the AI Risk program
- Create a sustainable and flexible AI Risk framework
- Partner with first- and second-line stakeholders to implement AI risk requirements and resolve cross-functional gaps
- Align stakeholders and drive execution of new or changing AI risk requirements through negotiation, leadership, and influence
- Prepare reporting and materials for senior management and governance forums on program development, risk gaps, and execution progress
Requirements
What you’ll need- At least 6 years of relevant experience in AI risk, technology risk, cyber risk, data risk, model risk, or enterprise risk management
- Practical experience within a highly regulated industry
- Strong AI, risk, and technology subject matter expertise
- Foundational knowledge and experience related to how banks implement and sustain risk management frameworks
- Experience across risk identification, assessment, measurement, monitoring, and governance
- Proven negotiation and leadership skills
- Ability to influence technology, business, and Risk & Compliance stakeholders without direct authority
- Ability to translate complex AI and risk topics into clear requirements, decisions, and senior-management communications
- Collaborative mindset and passion for enabling safe, high-impact innovation
Benefits
Comp & perks- Highly competitive compensation
- Benefits and wellbeing programs
- Flexible global resources and tools
- Generous paid leaves, including paid volunteer time
- Annual discretionary incentive award eligibility
- 401(k) plan
- Company-sponsored medical insurance
- Company-sponsored dental insurance
- Company-sponsored vision insurance
- Basic life insurance for the employee and eligible dependents
- Paid time off, including vacation and sick time
