Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, metro location, and mid-level AI role increase applicant competition.
Finance model-risk and regulatory context requires domain-specific risk expertise, limiting cross-industry transferability.
Advanced degree plus explicit 4+ years and 2+ years AI experience make filters stringent.
Perform independent review and challenge of AI/ML non-model objects across their lifecycle to manage risk.
Ensure compliance with policies, procedures, and testing guidance related to AI/ML non-model validations.
Engage with stakeholders including AI/ML Sponsors, Model Risk Management Governance, AI Centers of Excellence, Internal Audit, and Regulators on AI/ML risk matters.
Master’s degree or higher in mathematics, statistics, computer science, engineering, data science, AI/ML, or related fields.
Minimum 4 years analytics experience in financial services or related industry, including at least 2 years focused on AI, Generative AI, Agentic AI, or Machine Learning.
Technical expertise in AI/ML techniques relevant to model risk validation.
Strong communication skills and demonstrated project management capability.
Experienced in end-to-end AI/ML risk assessment and validation within regulated financial services environments.
Able to independently manage multiple complex projects and interact effectively with multiple internal and external stakeholders.
Comfortable working in cross-functional teams focused on policy development, regulatory compliance, and risk mitigation in AI model governance.