Santander

Requirements

• Bachelor's Degree in Mathematics, Physics, Statistics, or a related quantitative field
• Master's Degree in Mathematics, Physics, Statistics, or a related quantitative field
• Experience with model risk management and validation
• Strong understanding of liquidity and market risk
• Ability to communicate complex risk modeling topics to senior management

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Training Budget

Skills

Requirements

• Bachelor's Degree or equivalent work experience
• 5+ years of experience working with statistical models or building GenAI/ML solutions
• Programming proficiency in Python, with experience using Git
• Machine learning model knowledge, including model development, validation, and performance assessment techniques
• Generative AI experience, including evaluation of LLM architectures, design decisions, implementation, and testing
• Experience in the financial services industry, including risk modeling and regulatory compliance (e.g., SR 11-7)
• SQL experience
• Ability to partner closely with model owners and developers to understand model design, intended use, and underlying business context

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Professional Development
• Remote Work
• Retirement Plan

Skills

Requirements

• Advanced degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, or a related field
• Proven track record of advancing AI/ML through high-impact research publications, patents, open-source contributions, or
• Experience with AI safety, fairness, interpretability, or AI governance
• Ability to collaborate closely with engineering, validation, governance, and product teams
• Contribution to Santander's research and publication agenda
• Mentorship of peers to strengthen the organization's expertise in responsible and reliable AI systems

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Disability Insurance
• Employee Assistance Program

Skills

Requirements

• Supervise latest news on AI regulations
• Participate in industry events
• Collaborate with regulatory teams
• Maintain AI governance model
• Support regulatory reporting
• Contribute to AI policy development

Benefits

• Health Insurance
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Flexible Hours
• Gym Membership
• Paid Time Off
• Remote Work

Skills

Requirements

• Bachelor's Degree or equivalent work experience
• 5+ years of experience working with statistical models or building GenAI/ML solutions
• Experience in the financial services industry, including risk modeling and regulatory compliance
• Master’s Degree or higher in Statistics, Mathematics, Engineering, Computer Science, Economics, or a related field
• Ability to perform independent, end-to-end validations of a broad range of statistical, machine learning, and GenAI models

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work
• Stock Options

Skills

Requirements

• Define and operate Santander's AI Governance framework
• Ensure AI use cases are deployed responsibly, consistently, and in line with regulatory and internal requirements
• Coordinate and manage AI governance bodies
• Own and maintain the global inventory of AI use cases
• Ensure completeness, traceability, and lifecycle accuracy
• Design, implement, and continuously evolve the Group-wide AI Governance model
• Coordinate and manage AI risk assessments across the Group
• Play a central role in governing decision forums

Skills

Requirements

• Define and maintain the AI control framework aligned with COSO, COBIT, NIST, and internal standards.
• Design technical and operational controls across the AI lifecycle, including: Training and validation data controls, Model explainability, robustness, and bias management, Monitoring, performance tracking, and retraining.
• Work closely with cross-functional teams to implement and maintain AI controls.
• Develop and maintain documentation for AI controls and frameworks.
• Collaborate with stakeholders to identify and mitigate AI-related risks.
• Stay up-to-date with industry trends and regulatory requirements for AI compliance.

Skills