VP-AI Audit.Shared services_Audit

Mashreq NEO CORP; India; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Mashreq NEO CORP is seeking an experienced AI audit professional to lead risk-based GenAI audits across the AI lifecycle within a banking environment.

You will assess governance, model risk, ethics, and human-in-the-loop controls, and report to senior management. Deep knowledge of AI concepts and regulatory expectations is essential.

Qualifications

• Bachelor's degree in a quantitative field; Master's preferred.
• Minimum 10–12 years in IT audit, technology risk, model risk, or AI/data governance, with at least 3–4 years focused on AI/ML or GenAI risk/audit, preferably in banking.
• CISA mandatory (or to be obtained within 12 months).
• ISACA AAIA, CISSP, CRISC, CGEIT, CDPSE preferred.

Responsibilities

• Develop and implement risk-based AI/GenAI audit strategies aligned with the Bank's AI agenda and regulatory expectations.
• Audit AI/ML lifecycle across 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.
• Evaluate third-party AI risks covering foundation model providers and cloud AI platforms.
• Assess compliance with AI and data regulations—CB UAE, QCB, SBP, RBI, UAE PDPL etc.
• Audit AI use in credit, AML/fraud, KYC, chatbots, personalization, trading, and operations automation.
• Prepare and present impactful audits to the Board Audit Committee, GCEO, and senior management.
• Partner in Internal Audit AI transformation—continuous auditing, GenAI-enabled audit tools, and upskilling.
• Guide and develop AI audit team members; foster learning, agility, and innovation.
• Support integrated audits with AI/technology SME across the Bank.

Skills

AI risk assessment

Analytical thinking

Problem solving

Team leadership

Communication

Education

Bachelor's degree in CS/IT/DS/AI/Stats

Master's in AI/ML or Data Science

Tools

AI audit tools

Audit analytics

Job description

Knowledge, Skills and Experience

Develop and implementrisk-based AI/GenAI audit strategiesaligned with the Bank's AI agenda and regulatory expectations.

Execute audits over theAI/ML lifecycle— data sourcing, training, validation, deployment, monitoring, retraining, and decommissioning (MLOps/LLMOps).

Provide assurance onAI governance, model risk management (MRM), ethics, fairness, bias, explainability, and human-in-the-loop controls.

AuditGenAI/LLM use cases— RAG pipelines, fine-tuning, prompt engineering, guardrails, vector databases, and output validation.

AssessAI cybersecurity risks— adversarial attacks, prompt injection, data poisoning, model theft, jailbreaks (OWASP LLM Top 10, MITRE ATLAS).

Evaluatethird-party AI riskscovering foundation model providers (OpenAI, Anthropic, Google, Meta, Mistral,open-source) and cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI).

Assess compliance withAI and data regulations— CBUAE, QCB, SBP, RBI,UAE PDPL etc.

Audit AI use incredit, AML/fraud, KYC, chatbots, personalization, trading, and operations automation.

Prepare and presentimpactful audit reportsto the Board Audit Committee, GCEO, and senior management, translating complex AI concepts into business language.

Partner inInternal 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/technologysubject-matterexpertiseacross the Bank.

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

Minimum10–12 yearsin IT audit, technology risk, model risk, or AI/data governance, withatleast 3–4 years directly focused on AI/ML or GenAI risk, governance, or audit, preferably in banking.

Certifications

CISAmandatory (or to be obtained within 12 months).

One or more preferred:ISACA AAIA (Advanced in AI Audit), CISSP, CRISC, CGEIT, CDPSE.

Technical Knowledge

Strong understanding ofAI/ML concepts— supervised, unsupervised, reinforcement, deep learning, NLP, computer vision.

GenAI and LLMs— foundation models, transformers, embeddings, RAG, fine-tuning (SFT, RLHF,LoRA), prompt engineering, agentic and multi-modal AI.

Familiarity withmajor model versions and providers— OpenAI (GPT-4/4o/5), Anthropic (Claude), Google (Gemini), Meta (Llama), Mistral, and leading open-source models.

AI governance and risk frameworks

Skills

Strong analytical and problem-solving skills focused on novel AI risks.

Excellent communication and interpersonal skills to convey complex AI concepts to technical and non-technical stakeholders, including the Board.

Ability to work independently, lead a team, and collaborate across departments and geographies.

Added Advantages

Hands-on involvement in any part of an organization'sAI initiatives(use case build, model validation, AI governance council,MLOps, GenAI product).

Banking / financial servicesdomain knowledge (credit, fraud/AML, digital channels, compliance).

Experience withAI-enabled internal audit toolsand audit analytics.