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Manager - Corporate & FI Portfolio Analytics

Unlock employer Abu Dhabi, United Arab Emirates Posted: 07 Nov 2025

Financial

  • Estimate: $90k - $120k*
  • Zero income tax location

Accessibility

  • Office Only
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

About the Job
The role entails portfolio analysis and deriving insights from data, alongside the preparation of various Management Information Systems (MIS) and presentations. Responsibilities include arranging quarterly portfolio packs for review with Risk Managers, Auditors (both internal and external), and committees. The position ensures that quality data collection and reconciliation techniques are established for both internal and external reporting. It focuses on enhancing the quality of risk reports and automating these reports using SAS, Python, or R. The successful candidate will organize and update management reports to enhance understanding of the economic dynamics and industry risks associated with clients in the portfolio. Additionally, identifying root causes and key drivers for alarming trends, risk pockets, portfolio quality, and variances is crucial.

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Responsibilities

  • Accurately develop base data files used monthly for management and reporting.
  • Prepare quarterly risk-related financial disclosures, including collateral, risk rating, IFRS 9 provisions, movement of exposures, and ECL.
  • Create and distribute MIS packs to Business and Risk Managers on a monthly/quarterly basis.
  • Review and update Service Level Agreements (SLAs) and Standard Operating Procedures (SOPs) periodically.
  • Automate reporting using SAS and develop dashboard snapshots for different portfolios.
  • Serve as a backup for Portfolio and Risk Analytics team members.

Requirements

  • A minimum of 10 years of experience in the field.
  • Experience in management or regulatory reporting.
  • Relevant background in portfolio analytics and dashboard creation.
  • Advanced proficiency in SAS, Python, MS Excel, PowerPoint, and MS Office Suite.
  • Familiarity with core banking systems, Business Objects, and report automation.
  • Skilled in using statistical software for automation, particularly SAS.
  • Strong business knowledge of retail and non-retail portfolios.
  • Well-versed in management and regulatory reporting, as well as the company's policies and procedures.
  • Detail-oriented, accuracy-focused, and accountable.
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