Manager Corporate And FI Portfolio Analytics

Job description / Role

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, PowerPoint 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.