At a Glance
- Tasks: Manage AI risk assessments and develop evaluation rubrics for safety and fairness.
- Company: Join a dynamic tech company focused on innovative AI solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Exciting growth opportunities in a supportive and diverse work environment.
- Why this job: Make a real impact in AI safety and fairness while collaborating with passionate teams.
- Qualifications: Experience in AI risk management and familiarity with relevant frameworks.
The predicted salary is between 101318 - 123833 $ per year.
Responsibilities:
- Maintains the organization’s AI risk taxonomy and assessment methodology, covering safety, fairness, reliability, explainability, robustness, and harmful output risks.
- Develops risk evaluation rubrics for AI-specific risk dimensions (e.g., bias testing protocols, fairness metrics, explainability requirements by use case, drift tolerance thresholds, harmful output tolerances) within the established risk tolerance and acceptance thresholds.
- Develops and maintains templates and standards for risk documentation (model cards, risk assessments, impact analyses, risk scorecards); project teams produce their own documentation using these templates.
- Supports project teams in applying the risk assessment framework and quality gates, escalating high-risk deployments for direct review.
- Executes periodic independent risk audits on a sample basis to verify that federated execution meets the standards; project QAs provide first-line coverage.
- Supports red-teaming and adversarial testing coordination with the Cybersecurity team, focusing on safety, bias, and harmful output dimensions.
Background & Qualifications:
- Experience in AI/ML risk management, model risk management, technology risk, or a related analytical function.
- Working knowledge of AI-specific frameworks and legislation (NIST AI RMF, ISO 42001 & 23053, EU AI Act, and the proliferating landscape of US state-level AI legislation).
- Familiarity with risk assessment across safety, fairness, reliability, explainability, and robustness dimensions.
- Hands-on experience with model evaluation, bias and fairness testing, or AI red-teaming is a plus.
Skills:
- AI risk taxonomy and assessment methodology maintenance.
- Developing risk evaluation rubrics: bias testing, fairness metrics, explainability, drift, and harmful output.
- Risk documentation: model cards, risk assessments, impact analyses, and risk scorecards.
- Model evaluation and fairness/safety testing.
- Audit execution and independent risk review.
- Cross-functional collaboration with Engineering and Cybersecurity.
AI Risk Management Specialist in London employer: Automotivemastermind
Mobility is an exceptional employer that fosters a vibrant work culture where innovation and collaboration thrive. As an AI Risk Management Specialist, you will benefit from a supportive environment that prioritizes employee growth through continuous learning opportunities and cross-functional teamwork. Located in a dynamic setting, Mobility offers unique advantages such as a commitment to diversity and inclusion, ensuring that every voice is heard and valued.
We think you need these skills to ace AI Risk Management Specialist in London
AI Risk Taxonomy Maintenance
Risk Assessment Methodology
Risk Evaluation Rubrics Development
Bias Testing Protocols
Fairness Metrics
Explainability Requirements
Drift Tolerance Thresholds
