Associate Analyst- Model Risk Management

Abu Dhabi Islamic Bank; United Arab Emirates; On-site; AED 89,280 - 133,920; Full time

Job summary

Abu Dhabi Islamic Bank invites applications for the Associate Analyst- Model Risk Management role in Abu Dhabi. The position targets fresh graduates UAE Nationals who will support model governance, AI risk governance and monitoring under supervision.

You will assist with evidence gathering, documentation, and cross-functional coordination while developing a solid foundation in model lifecycle risk and responsible AI practices within banking.

Qualifications

• Bachelor's degree in a quantitative field.
• Fresh graduate or up to two years of internship; banking experience is advantageous but not mandatory.
• Foundation knowledge of statistics, data analysis, machine learning or model development concepts.
• Exposure to Python, R or SAS; Microsoft Excel and PowerPoint proficiency.
• Strong analytical, research and documentation skills with attention to data quality.
• Clear written and verbal communication, teamwork, adaptability and commitment to development.

Responsibilities

• Provide administrative, analytical and coordination support to Model Risk Management and AI Risk team.
• Maintain complete model and AI use-case inventory with ownership, purpose, status, risk tier, validation and monitoring information.
• Support model identification, risk classification and lifecycle governance activities.
• Assist with independent model reviews by collecting documentation and observations under supervision.
• Support basic quantitative testing using Excel and, as capability develops, Python, R or SAS.
• Help review AI use cases for responsible AI considerations such as data quality, fairness and privacy.
• Prepare committee packs, dashboards and risk oversight reporting.

Skills

Quantitative aptitude

Analytical skills

Documentation skills

Communication skills

Education

Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, AI, Quantitative Finance, Economics, Engineering, Actuarial Science or related quantitative field

Tools

Excel

PowerPoint

Python

R

SAS

SQL

Power BI

Job 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 usage.

• 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.