Business Unit
QNB - Qatar
Division
Not Applicable
Department
Not Applicable
Location
Closing Date
31-Dec-2026
About QNBEstablished 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.
Job Summary Main ResponsibilitiesA. Shareholder & Financial:
- Implement Key Performance Indicators (KPIs) and monitor the performance of Data & AI-driven solutions to measure their impact on business outcomes.
- Promote cost consciousness and efficiency in Data Analytics and AI projects to minimize expenses and maximize returns.
- Implement Key Risk Indicators (KRIs) and manage the Group’s exposure to Data & AI related risk effectively.
- Coordinate and obtain approval from the EVP Data & Analytics for projects and new systems that would impact capital or operating expenditures.
- Take part in the overall QNB Data & Analytics strategy execution.
- Communicate comprehensive and cost-effective Data, Analytics & AI solutions to user requirements keeping in mind the Group’s budgets and targets while enhancing productivity, to minimise cost, avoid waste, and optimise benefits for the bank.
- 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.
B. Customer (Internal & External):
- Collaborate closely with peers, key divisional stakeholders, and third-party support teams to identify and implement advanced data-driven and AI solutions that deliver substantial value for QNB and its customers.
- Translate complex business needs into comprehensive data science and analytics requirements to support strategic business decision-making.
- Provide strategic guidance regarding the potential and implementation of AI and data science within the organization.
- Assist customers with thorough and insightful responses to their inquiries about the Bank’s products and strive to provide innovative solutions to their requests.
- Ensure activities are conducted in accordance with Service Level Agreements (SLAs) with internal departments and units to achieve significant improvements in turnaround times.
- Build and maintain robust and effective relationships with related departments and units to achieve the Group’s overarching objectives.
- Provide precise and timely data to external and internal auditors, compliance teams, financial control, and risk management when required.
C. Internal (Processes, Products, Regulatory):
- Develop predictive models using a variety of advanced machine learning techniques to extract meaningful insights.
- Research and implement cutting-edge techniques and tools in data analytics and artificial intelligence to streamline data analysis processes and enhance decision-making.
- Identify and implement new statistical or mathematical methodologies as required for specific data-driven projects.
- Build robust data-driven models to address complex business questions and employ large-scale experimentation, analysis, and visualization techniques to generate efficient and repeatable insights.
- Integrate domain knowledge into AI solutions, such as leveraging financial risk…
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