Manager - Corporate And FI Portfolio Analytics

Role: Manager - Corporate & FI Portfolio Analytics  

Location: Abu Dhabi

Role purpose:

• Portfolio analysis and creating insights from data, preparation of various MIS and presentations. 
• Arrange quarterly portfolio packs for review with Risk Managers, Auditors [Internal / External] and committees.
• Ensures quality of data collection and reconciliation techniques are established for internal and external reporting.
• Quality enhancement of risk reports and automation of the reports using SAS/Python/R. 
• Proficiently organize and update management reports to achieve a sound understanding of the dynamics and risks of the economy and industries in which clients within the portfolio operate
• Identify root causes/key drivers for alarming trends, risk pockets, portfolio quality and variances

• Accurate development of the base data files used monthly for Management and reporting
• Preparation of Risk related financial disclosures on quarterly basis – including collateral, risk rating, IFRS 9 provisions, movement of exposures, ECL etc.
• Prepare MIS packs to be circulated to Business and Risk Managers on monthly/quarterly basis.
• Prepare, review and update SLAs and SOPs periodically.
• Automation of reporting using SAS and create dashboard snapshots for different portfolios.
• Serve as backup of Portfolio and Risk Analytics team members.        

• Excellent business knowledge of the Retail and Non-Retail portfolios 
• Well versed with management and regulatory reporting and bank’s policies and procedures
• Attention to detail, accuracy oriented with sense of accountability
• Advanced users of MS Office, ALGO, BO, CCP, crystal reports and Phoenix
• Technical knowledge for using SAS/R/Python for running periodic reports and automation.

• Minimum of 10 years’ experience is required
• Experience in Management or Regulatory reporting 
• Relevant portfolio analytics and dashboard creation experience
• Advanced users of SAS/Python, MS-Excel, Power-point and MS Office Suite 
• Experience in core-banking systems, Business objects and automation of reports
• Experience in using statistical software for automation such as SAS