: 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
Key accountabilities of the role: Responsibilities:
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.
Specialist skills / technical knowledge required for this role:
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.
Previous experience required (if any):
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