Assistant Manager - Model Monitoring (UAE National)

About the role

Emirates NBD is recruiting an Assistant Manager for Model Monitoring, a UAE national position based in Dubai. The role supports the Manager Model Monitoring in overseeing the monitoring of retail and wholesale credit risk scorecards and models, both in-house and externally developed, across the Emirates NBD Group. It sits within the Group Risk Management unit, which covers Basel II compliance, Central Bank reporting, IFRS 9 loss provisioning, internal ratings, AML and compliance, operational loss reporting and risk reviews.

Key responsibilities

• Assist the Manager Model Monitoring with interim tasks on monitoring of retail and wholesale credit risk scorecards and models
• Monitor credit risk models across the group (Emirates NBD Bank, Emirates Islamic, Emirates Money, Emirates NBD Egypt and Emirates NBD KSA)
• Follow the model monitoring framework, standards and methodology, and prepare and collate monitoring results
• Work on retail application, behaviour, collection and recovery scorecards, wholesale rating models (large corporate, sovereign, SME), Basel II models (PD, EAD, LGD) and IFRS 9 models (expected loss, long-term and PIT PD)
• Follow the annual model monitoring schedule, share data and results on time, and coordinate with internal clients on SAS codes, model development specifics and validation periods
• Extract, cleanse and organise model input and output data, verify data lineage and maintain audit trails
• Prepare monitoring reports with performance summaries, findings and recommendations, and respond to stakeholder queries
• Escalate significant anomalies and compliance risks, and support regulatory submissions with validated model performance data

Required profile

• Bachelor's degree in Math, Statistics, Physics, Engineering, Statistics, Mathematics, Finance, Economics or a related field
• 1-2 years of experience
• Understanding of statistical techniques; knowledge of Python, SAS, VBA, SQL, maths or statistics
• Excellent verbal and written communication and presentation skills
• Relevant risk management or data analytics certifications (e.g. FRM, CFA, SAS certification) preferred