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EXL

Analyzes business data and runs outsourced operations

AI Governance, Risk and Assurance Consultant

Risk, Regulatory & Legal AdvisoryConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • Six to nine years of experience in technology risk, internal audit, model risk, or governance, risk and compliance, preferably in consultancy or in-house at a regulated or large organisation.
  • Hands-on delivery experience in AI governance, AI risk, or AI assurance, or closely related model risk or technology risk work with practical AI exposure.
  • Experience reviewing, validating, or testing traditional and AI-driven models, and assessing model performance and risk outcomes.
  • Good understanding of AI platforms, architectures, governance frameworks, and technology and operational risks across the AI lifecycle, including generative and agentic AI.
  • Experience assessing data governance, data quality, lineage, and privacy controls, with working knowledge of ISO/IEC 42001, NIST AI RMF, the EU AI Act, UK GDPR, and UK regulatory expectations for AI.
  • Experience scoping AI audits and assessments, designing and testing controls, and writing audit-quality findings and reports.
  • Ability to influence senior stakeholders, explain complex topics clearly, lead an engagement independently, and coach others.
  • A degree in a relevant subject.
  • Already eligible to work in the United Kingdom.

Responsibilities

  • Deliver AI governance engagements, including maturity assessments, AI risk appetite, taxonomy and policy, operating models, integration with enterprise risk, model risk, data, cyber and privacy, and ISO/IEC 42001 readiness.
  • Run AI estate discovery, including shadow AI, use-case classification and risk tiering, regulatory mapping and portfolio views, and produce a prioritised roadmap.
  • Assess inherent and residual AI risk at use-case level, covering customer and conduct harm, data and privacy, model and output, security, and operational risk across machine learning, generative AI, and agentic AI.
  • Design proportionate controls and guardrails, human oversight, and approval workflows, and recommend go, conditional go, redesign, or stop.
  • Set up monitoring for live AI, including key risk indicators, incident handling, and reassessment on material change, and support clients in day-to-day operation.
  • Plan and carry out independent AI audits across an organisation and its AI portfolio or in depth on selected use cases, including support to internal audit teams.
  • Test controls over models, data, and technology, including model performance and validation, data quality, lineage, and privacy; coordinate specialist testing such as red teaming where needed.
  • Track AI regulation and standards, including FCA and PRA expectations, the EU AI Act, ISO 42001, NIST AI RMF, and UK GDPR, and translate them into practical client requirements.
  • Document findings, agree actions with management, lead workshops and steering committees, influence senior leaders, and prepare executive-ready reports.
  • Manage delivery by planning work, reviewing others’ work, controlling quality, timelines and engagement finances, and coaching analysts, including colleagues in India.

Desired Qualifications

  • Professional certifications such as AIGP, CISA, CISM, CRISC, AAIA, AAIR, AAISM, or ISO 42001/ISO 27001 Lead Auditor or Implementer.
  • Exposure to third-party AI risk and experience in a regulated sector; insurance experience is strongly preferred.
  • Data literacy such as Python, SQL, or Power BI, and familiarity with leading GRC and AI governance tools.

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1999

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