Remote AI Risk & Controls Jobs with Certification Support

Requirements

• 2+ years of experience in AI risk, compliance, data science, or related consulting roles
• Basic understanding of AI governance and risk frameworks (ISO 42001, NIST AI RMF)
• Programming skills in Python or similar languages
• Awareness of AI model risk, fairness, and ethics principles
• Strong analytical, communication, and client-facing skills
• Familiarity with cloud platforms and AI deployment is a plus
• Nice to have Exposure to cybersecurity risk frameworks and integration with AI risk management
• Familiarity with data privacy regulations and their impact on AI systems

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget

Skills

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

• Experience with model validation and/or development is a strong plus.
• Experience of valuation control processes is desirable but not a requirement.
• Knowledge and experience across financial products, models, and asset classes.
• Analytical, quantitative aptitude and attention to detail.
• Strong verbal and written communications skills to interface with a wide variety of functional areas.
• Ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Performance Bonus
• Remote Work
• Training Budget

Skills

Requirements

• Experience with model validation and/or development is a strong plus.
• Experience of valuation control processes is desirable but not a requirement.
• Knowledge and experience across financial products, models, and asset classes.
• Analytical, quantitative aptitude and attention to detail.
• Strong verbal and written communications skills to interface with a wide variety of functional areas.
• Ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Performance Bonus
• Remote Work
• Training Budget

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

• Lead design, implementation, and scaling of enterprise AI safety & security guardrail services
• Combine deep AI safety engineering with high-performance Python backend
• Drive vendor collaboration and internal architecture strategy for resilient, auditable, low-latency guardrail enforcement
• Own technical architecture for multi-layer guardrails
• Design/extend services for jailbreak & prompt/indirect injection detection
• Retrieval poisoning defense
• PII detection/redaction/masking/tokenization
• Toxicity/hate/harassment/self-harm/extremism filtering

Benefits

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

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

• 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

• 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