Risk Management

Role : Risk Management

Experience : 8 to 15 years

Location : Pan India

Keywords : AI Risk, Responsible AI, Model Governance, NIST AI RMF, ISO 42001, Bias, Explainability, Model Drift, MLOps, GenAI Risk, LLM Governance

Desired Competencies (Technical/Behavioral Competency)

Must-Have

1. Strong understanding of AI/ML lifecycle, model governance, responsible AI principles and AI-specific risk domains including fairness, explainability, privacy, robustness and security.
2. Experience conducting AI model validation, AI risk assessments, model governance reviews or control assessments for enterprise AI systems.
3. Knowledge of NIST AI RMF, ISO/IEC 42001, privacy/security risk concepts and evolving AI regulatory expectations.
4. Familiarity with MLOps, model monitoring, drift detection, model documentation, control testing and audit evidence practices.
5. Ability to integrate GRC methods with AI risk frameworks and communicate complex AI risks to technical and non-technical stakeholders.

Good-to-Have

1. Experience with generative AI risk, LLM assessment, prompt governance, prompt injection risk and AI system assurance.
2. Exposure to BFSI model risk management, RCSA, operational risk, internal audit, privacy or data governance practices.
3. Hands-on experience with AI/ML platforms, model inventory, model monitoring or evaluation tools.

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Role descriptions / Expectations from the Role

1

Define and implement AI risk management frameworks aligned to NIST AI RMF, ISO/IEC 42001 and enterprise risk practices.

2

Create AI risk assessment methodologies covering model criticality, business impact, data sensitivity, user impact and regulatory exposure.

3

Conduct AI model risk assessments covering bias, fairness, explainability, privacy, data quality, robustness, reliability and security threats.

4

Design controls for model validation, independent review, approval, drift detection, monitoring, human oversight, auditability and exception handling.

5

Collaborate with data science, engineering, legal, privacy, compliance and security teams to embed AI controls into lifecycle and monitoring workflows.