QNB- Senior Associate - Data Analytics and Technology Audit; Qatarization

About QNB

Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.

QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents, providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000, serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.

QNB has maintained its position as one of the highest-rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The bank has also been the recipient of many awards from leading international specialised financial publications.

Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.

QNB Group has an active community support program and sponsors various social, educational and sporting events.

The incumbent will support the Data Analytics and Technology team, within the Professional Practices department, providing independent guidance on the audit function’s technology, data analytics and AI strategy. The role contributes to the strategic implementation and integration of advanced data analytics, AI tools, and continuous auditing techniques across the audit function to enhance efficiency and real‑time risk monitoring. This role requires full compliance with the GIAD Group Audit Manual, IIA standards, and all relevant local regulations and industry audit standards.

The incumbent will contribute to strengthening the organization’s audit quality and efficiency and adoption of technology.

• Shareholder & Financial:
• Contribute to the development and execution of the risk-based annual audit plan that aligns with the Group Internal Audit strategy and helps safeguard critical assets and systems that underpin the organization’s financial operations and shareholder value.
• Assist in identifying significant risks that could lead to financial loss, operational disruption, or reputational damage, providing actionable recommendations to mitigate these risks.
• Assess the efficiency and effectiveness of audit-related investments and technology-related processes.
• Implement KPIs and best practices for Senior Associate, Data Analytics and Technology.
• Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank.
• Act within the limits of the powers delegated to the incumbent.
• Demonstrate clear understanding of the important factors behind the bank’s financial & non-financial performance.
• Customer (Internal & External):
• Assist in building and maintaining strong, independent, and collaborative relationships with all internal audit teams and other relevant stakeholders across the Group.
• Communicate data analytics and AI strategies to the VP, and other senior stakeholders as directed.
• Assist (internal) customers in all their queries on the audit processes and seek a solution to their requests.
• Coordinate effectively with external auditors and regulatory bodies on relevant inquiries.
• Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn‑around time.
• Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives.
• Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required.
• Internal (Processes, Products, Regulatory):
• Execute analytics by extracting, cleansing and analysing data for specific requests.
• Conduct data quality and integrity checks and validation to ensure accuracy and reliability of analysis.
• Suggest improvements to existing reports and data processes to enhance efficiency, pilot new features and support implementation rollout under management’s guidance.
• Support…