Associate Analyst- Model Risk Management

Description

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:

• Bachelors 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.

Required Experience:

IC