AI Risk Management Specialist

Mobility Global; London; On-site; CAD 90,000 - 120,000; Full time

Job summary

Mobility Global is seeking a senior AI risk professional to maintain our AI risk taxonomy and assessment framework across safety, fairness, reliability, explainability, robustness, and harmful output risks. You will develop risk evaluation rubrics and maintain templates for risk documentation used by project teams.

You will support project teams in applying the risk framework, escalate high-risk deployments for review, and conduct periodic independent risk audits to verify standards.

Qualifications

• Experience in AI/ML risk management or related analytical function.
• Familiarity with risk assessment across safety, fairness, reliability, explainability, and robustness.

Responsibilities

• Maintains AI risk taxonomy and assessment methodology across safety, fairness, reliability, explainability, robustness, and harmful output risks.
• Develops risk evaluation rubrics for AI-specific risk dimensions (bias testing, fairness metrics, explainability by use case, drift tolerance, harmful output thresholds).
• Develops and maintains templates for risk documentation (model cards, risk assessments, impact analyses, risk scorecards).
• Supports project teams in applying risk assessment framework and quality gates; escalates high-risk deployments for review.
• Executes periodic independent risk audits to verify federated execution meets standards; project QAs provide first-line coverage.
• Supports red-teaming and adversarial testing coordination with Cybersecurity focusing on safety, bias, and harmful output.

Skills

AI risk taxonomy

risk assessment

model evaluation

bias testing

fairness testing

cross-functional collaboration

audits

Job description

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

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

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

It is the policy of Mobility to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Mobility will provide reasonable accommodations for qualified individuals with disabilities.