Key Result Areas
* Develop and implement risk-based AI/GenAI audit strategies aligned with the
Bank's AI agenda and regulatory expectations.
* Execute audits over the AI/ML lifecycle — data sourcing, training,
validation, deployment, monitoring, retraining, and decommissioning
(MLOps/LLMOps).
* Provide assurance on AI governance, model risk management (MRM), ethics,
fairness, bias, explainability, and human-in-the-loop controls.
* Audit GenAI/LLM use cases — RAG pipelines, fine-tuning, prompt engineering,
guardrails, vector databases, and output validation.
* Assess AI cybersecurity risks — adversarial attacks, prompt injection, data
poisoning, model theft, jailbreaks (OWASP LLM Top 10, MITRE ATLAS).
* Evaluate third-party AI risks covering foundation model providers (OpenAI,
Anthropic, Google, Meta, Mistral, open-source) and cloud AI platforms (Azure
OpenAI, AWS Bedrock, Google Vertex AI).
* Assess compliance with AI and data regulations — CBUAE, QCB, SBP, RBI,UAE
PDPL etc.
* Audit AI use in credit, AML/fraud, KYC, chatbots, personalization, trading,
and operations automation.
* Prepare and present impactful audit reports to the Board Audit Committee,
GCEO, and senior management, translating complex AI concepts into business
language.
* Partner in Internal Audit AI transformation — continuous auditing,
GenAI-enabled audit tools, and audit team upskilling.
* Guide, coach, and develop AI audit team members; foster a culture of
learning, agility, and innovation.
* Support integrated audits by providing
AI/technology subject-matter expertise across the Bank.
Knowledge, Skills and Experience
Education
* Bachelor's degree in Computer Science, IT, Data Science, AI, Statistics,
Mathematics, or a related quantitative field; Master's in AI/ML or Data
Science preferred.
Experience
* Minimum 10–12 years in IT audit, technology risk, model risk, or AI/data
governance, with at least 3–4 years directly focused on AI/ML or GenAI risk,
governance, or audit, prefera
📌 VP-AI Audit.Shared services_Audit (India)
🏢 Mashreq
📍 India