Associate Analyst- Model Risk Management

Role: Associate Analyst- Model Risk Management

Location: Abu Dhabi

This position is for fresh graduates UAE Nationals only.

Role purpose:

• The role supports the Model Risk Management and AI Risk team in day-to-day activities covering model governance, AI risk governance, independent review support, model inventory administration, monitoring, issue tracking and management information.

• The position is designed for a fresh graduate or early-career hire who will develop a sound foundation in model lifecycle risk and the responsible use of artificial intelligence in banking.

• Under supervision and with structured training, the role holder will assist with evidence gathering, analytical review, documentation and coordination across stakeholders.

• The role requires curiosity, attention to detail, sound quantitative aptitude, integrity and the ability to communicate clearly with technical and non-technical colleagues.

Key accountabilities / Responsibilities:

• Provide proactive administrative, analytical and coordination support to the Model Risk Management and AI Risk team.

• Assist in maintaining complete and accurate model and AI use-case inventory, including ownership, purpose, status, risk tier, validation, monitoring and approval information.

• Support model identification, risk classification, initial screening and lifecycle governance activities using approved templates and procedures.

• Assist with independent model and AI review activities by collecting documentation, checking data completeness, reproducing basic analyses and documenting observations under supervision.

• Support basic quantitative testing using Excel and, as capability develops, Python, R or SAS for data quality, performance, stability, sensitivity, fairness and monitoring analyses.

• Help review AI use cases for responsible AI considerations, including data quality, fairness, transparency, explainability, human oversight, privacy, security, robustness and appropriate use.

• Support preparation of committee packs, dashboards, risk appetite reporting, regulatory assessments and management information for model and AI risk oversight.

• Track validation plans, monitoring submissions, model or AI changes, conditions, findings and remediation actions, and follow up with stakeholders on agreed timelines.

• Maintain clear working papers, evidence, version control and audit trails in line with approved policies, procedures and information-handling requirements.

• Contribute to automation and process improvement opportunities that improve the quality, consistency and efficiency of governance, validation and reporting activities.

• Participate in training and progressively build knowledge of banking models, AI and machine learning, model risk, responsible AI, statistics, regulation and ADIB governance processes.

• Escalate incomplete information, control concerns, missed timelines or potential policy breaches

Specialist skills / technical knowledge required for this role:

• Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, Artificial Intelligence, Quantitative Finance, Economics, Engineering, Actuarial Science or a related quantitative discipline.

• Fresh graduate or up to two years of relevant internship or work experience. Banking experience is advantageous but not mandatory.

• Foundation knowledge of statistics, data analysis, machine learning or model development concepts, with a strong willingness to learn risk governance and validation.

• Good working knowledge of Microsoft Office, particularly Excel and PowerPoint. Exposure to Python, R, SAS, SQL, Power BI or similar analytical tools is advantageous.

• Strong analytical, research, problem-solving and documentation skills, with careful attention to data quality and detail.

• Clear written and verbal communication, professional judgement, teamwork, adaptability and commitment to continuous development.

• Awareness of responsible AI, model risk, data privacy, information security or banking regulation is advantageous but not mandatory.