Remote AI Risk & Controls Jobs with Learning Budget

Requirements

• 8+ years of experience in AI risk management
• Proven leadership and client management experience
• Deep knowledge of AI governance, risk frameworks, and regulatory standards
• Strong strategic thinking and stakeholder engagement skills
• Experience managing enterprise-scale AI risk and compliance programs

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus

Skills

Requirements

• Develop and maintain AI risk frameworks
• Advise internal stakeholders on AI strategy
• Ensure ING's AI strategy aligns with global standards and regulatory expectations
• Collaborate with other 2nd Line of Defense (2LoD) functions and external regulators
• Conduct thematic deep dives and reviews on operational risk
• Train junior team members and communicate requirements to NFR, Compliance and Model Risk teams
• Monitor regulatory developments and ensure ING's compliance with relevant guidelines
• Drive simplification and risk-based approaches in NFR, Compliance and Model Risk processes

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Support technology-enabled risk and control activities
• Analyse risk and control data to identify trends
• Implement automation and control to reduce manual effort
• Work with Risk, Compliance and Technology teams
• Embed risk requirements into systems, workflows and controls
• Use AI-enabled tools to enhance insight
• Support governance through workflow-based approvals
• Be a contact for colleagues looking for guidance on risk and control AI and process automation

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Higher university degree in a quantitative area (Artificial Intelligence, Mathematics, Engineering, Quantitative Finance)
• Profound knowledge and preferably a minimum of 2 years of experience working with non-financial models (e.g. Machine Learning, Artificial Intelligence, generative AI / agentic AI)
• Experience with financial models (e.g. Liquidity/ALM, Stress Testing, IRRBB, Market Risk, Credit Risk, Investment/Research/ESG) would be an advantage
• Programming experience in languages such as Python, R, SQL
• Autonomous working style, with the ability to demonstrate initiative defining validation scope, designing independent technical tests, clearing and reporting of validation outcome
• Results-oriented individual with outstanding interpersonal skills, excellent written and verbal communication skills in English (German is an advantage)
• Focused on clients and can communicate impactfully with business partners, explaining technical and complex topics to a diverse audience

Benefits

• Health Insurance
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Flexible Hours
• Gym Membership
• Home Office Budget
• Learning Budget

Skills

Requirements

• Develop methodological approaches and solutions for model deployment
• Enhance reporting and provide intelligent insight into model outputs
• Manage model risk across the model life-cycle
• Innovate and develop new analytics, automation, intelligent insight and reporting
• Communicate results and insight to diverse audiences
• Present model insight findings and methodologies to senior management
• Participate in forward-looking team culture and work across boundaries

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus

Skills

Requirements

• Develop methodological approaches and solutions for model deployment
• Enhance reporting and provide intelligent insight into model outputs
• Manage model risk across the model life-cycle
• Innovate and develop new analytics, automation, intelligent insight and reporting
• Communicate results and insight to diverse audiences
• Present model insight findings and methodologies to senior management
• Participate in forward-looking team culture
• Work across boundaries and build strong global networks

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus

Skills

Requirements

• 7+ years of experience in model development, validation, or model risk management in financial services
• Master's degree in a quantitative field (Statistics, Economics, Mathematics, Financial Engineering, or similar)
• Hands-on experience with statistical and machine learning models
• Ability to independently assess model performance using Python code and large datasets
• Understanding of regulatory model risk expectations and ability to apply them pragmatically in a high-growth environment
• Strong judgment, intellectual independence, and confidence to challenge assumptions
• Ability to translate complex modeling concepts into clear, actionable insights for senior stakeholders

Benefits

• 401k Matching
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• 8+ years of experience in a large, complex financial institution, regulatory body, or related field.
• 4+ years of experience in risk management, audit, model governance, or technology risk, with direct exposure to AI/ML deployment and oversight.
• Demonstrated understanding of Artificial Intelligence and Machine Learning concepts.
• Ability to analyze and assess AI-related risks and develop mitigation strategies.
• Strong communication and stakeholder engagement skills.
• Ability to work in a fast-paced environment and adapt to changing priorities.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus

Skills

Requirements

• 8+ years of experience in a large, complex financial institution, regulatory body, or related field.
• 4+ years of experience in risk management, audit, model governance, or technology risk, with direct exposure to AI/ML deployment and oversight.
• Demonstrated understanding of Artificial Intelligence and Machine Learning concepts.
• Ability to analyze complex data and identify trends.
• Strong communication and interpersonal skills.
• Ability to work in a fast-paced environment and adapt to changing priorities.
• Experience with risk management frameworks and regulations.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Relevant experience in model risk, AI governance, compliance, or technology risk.
• A proven understanding of AI/ML and GenAI risks across different lifecycle stages (e.g. data use, model outputs, integration, monitoring).
• Strong communication and collaboration skills.
• Ability to work on the strategy, shape risk assessment frameworks, and support business for AI use cases.
• May lead a team of risk specialists and deputise for more senior colleagues.

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work
• Wellness Programs

Skills

Requirements

• Relevant experience in model risk, AI governance, compliance, or technology risk.
• A proven understanding of AI/ML and GenAI risks across different lifecycle stages (e.g. data use, model outputs, integration, monitoring).
• Strong communication and collaboration skills.
• Ability to work on the strategy, shape risk assessment frameworks, and support business for AI use cases.
• May lead a team of risk specialists and deputise for more senior colleagues.

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work
• Wellness Programs

Skills

Requirements

• Execute financial crime model validation activities in accordance with the established validation plan and methodology.
• Ensure that financial crime model validation documentation is complete, consistent, accurate, updated and approved.
• Register and follow up on financial crime model risk validation findings, identified risks and agreed actions.
• Escalate and present financial crime model risk validation findings issues to senior management and third parties in a clear and easy to understand manner.
• Provide expert analysis and advice relating to financial crime model risk validation.
• Support the maintenance of methodologies for 2LoD assurance and financial crime model validations.

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Life Insurance
• Paid Time Off
• Remote Work

Skills