Remote AI Risk & Controls Jobs with Flexible Hours

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

• Bachelor's degree or equivalent combination of education and work experience required
• Advanced degree (PhD) in Math, Statistics, Physics, Economics or Engineering preferred
• Lead or participate in complex Internal Audit engagements focused on model risk
• Evaluate the design and operating effectiveness of controls over model development, implementation, use, and validation activities
• Perform and oversee audit testing with sufficient depth, accuracy, and rigor
• Identify, assess, and communicate significant issues and control weaknesses within model risk areas under review
• Prepare high-quality audit reports and other written deliverables
• Monitor and validate the remediation of audit findings

Benefits

• 401k Matching
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts
• Flexible Hours

Skills

Requirements

• Leadership and direction to the team
• Collaboration with data owners to identify and select relevant data sources
• Development and oversight of statistical and analytical models
• Design and implementation of tools and methodologies for stress testing
• Leadership of the enterprise Model Risk Management program
• Implementation of robust controls to maintain data completeness and accuracy
• Preparation of regular and ad hoc reports as requested by risk leaders
• Collaboration with risk leaders to determine scenario assumptions and appropriate methodologies

Benefits

• 401k Matching
• Health Insurance
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Flexible Hours
• Gym Membership
• Paid Time Off

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

• 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
• Drive optimization of risk processes to ensure efficiency, effectiveness, and scalability

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Flexible Hours
• Remote Work
• Professional Development

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

• Hands-on experience and advanced knowledge in AML or Fraud models
• Good knowledge and relevant training in data mining, machine learning, and statistical analysis techniques
• In-depth knowledge of industry best practices
• Good knowledge of regulatory requirements on AML models
• Experience in regulatory matters as an asset
• Master's Degree, PhD. preferred in a quantitative field e.g., Mathematics, Computer Science, Statistics and Engineering
• AML Designation such as CAMS, ACAMS preferred
• Detail-oriented, analytical, well organized, highly self-motivated and good interpersonal skills

Benefits

• Health Insurance
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Flexible Hours
• Gym Membership
• 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

• Experience in model risk oversight and control related roles within a Banking environment
• A detailed understanding of the types of models used within a Bank, including where model risks may arise
• A proven ability to interpret and comply with regulatory requirements
• Proven experience in influencing, negotiation and relationship management
• Strong communication skills, with experience of preparing and presenting documents and committee papers in relation to model risk
• A good understanding of model development, validation and implementation processes
• Strong understanding of best practice in model risk governance
• Ability to create clear and informative summary information and MI packs

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Life Insurance
• Paid Time Off
• Volunteer Time Off

Skills

Requirements

• Experience in model risk oversight and control related roles within a Banking environment
• A detailed understanding of the types of models used within a Bank, including where model risks may arise
• A proven ability to interpret and comply with regulatory requirements
• Proven experience in influencing, negotiation and relationship management
• Strong communication skills, with experience of preparing and presenting documents and committee papers in relation to model risk
• A good understanding of model development, validation and implementation processes
• Strong understanding of best practice in model risk governance
• Ability to create clear and informative summary information and MI packs

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Life Insurance
• Paid Time Off
• Volunteer Time Off

Skills

Requirements

• Experience in model risk oversight and control related roles within a Banking environment
• A detailed understanding of the types of models used within a Bank, including where model risks may arise
• A proven ability to interpret and comply with regulatory requirements
• Proven experience in influencing, negotiation and relationship management
• Strong communication skills, with experience of preparing and presenting documents and committee papers in relation to model risk
• A good understanding of model development, validation and implementation processes
• Strong understanding of best practice in model risk governance
• Ability to create clear and informative summary information and MI packs

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Life Insurance
• Paid Time Off
• Volunteer Time Off

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

• 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

• 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

• 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

• 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

• 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

• 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

• Support the development of audits aligned to the bank's standards and objectives
• Collaborate with colleagues to provide accurate information and recommendations
• Comply with policies and procedures
• Identify operational risks to support the delivery of the Barclays Internal Audit (BIA) Audit Plan
• Assess internal control effectiveness and their capability to identify and mitigate risk aligned to regulatory requirements

Benefits

• Company Retreats
• Conference Budget
• Dental Insurance
• Employee Assistance Program
• Employee Discounts
• Flexible Hours
• Gym Membership
• Health Insurance

Skills

Requirements

• Strong foundation in AML and model validation
• Hands-on skills in SAS, Python, and SQL
• Ability to manage assigned validation/review projects
• Timely delivery of validation report with high quality
• Ability to identify early warning of model performance deterioration

Benefits

• Health Insurance
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Flexible Hours
• Paid Time Off

Skills

Requirements

• Validate and approve models for specific usages
• Conduct annual reviews of models
• Assess model risk and limitations
• Design framework and methodology to measure model risk
• Collaborate with other functions and business divisions
• Lead a team performing complex tasks
• Set objectives and coach employees
• Demonstrate leadership behaviours to create an environment for colleagues to thrive

Benefits

• Health Insurance
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts
• Flexible Hours
• Gym Membership
• Life Insurance

Skills