Company Description

Join the UAE\'s largest bank and one of the world\'s largest and safest financial institutions. Our focus is to create value for our employees, customers, shareholders and communities to grow through differentiation, agility and innovation. We are looking for top talent and your success is our success. Accelerate your growth as you help us reach our goals and advance your career. Be ready to make your mark a top company, in an exciting and dynamic industry.



JOB PURPOSE:

The Group Fraud Risk & Investigations function is part of the group\'s Risk management function and provides second line Fraud Risk oversight for the firms\'s front office and support / control functions.

The VP Fraud Analytics plays a crucial role in developing, implementing, and maintaining a comprehensive analytics capability to support fraud detection, prevention and investigations. The encumbent is required to manage POC\'s and project related to fraud data and fraud analytics. The incumbent is also responsible to manage all activities related to the design of, fine tuning and operation of fraud detection models and fraud detection rules. Furthermore, analytical support will be provided to the department through evaluation departmental and business \xe2\x80\x9cproblem statements\xe2\x80\x9d, identification of data required and the sources thereof, conduct analysis and present findings translated into actionable intelligence. The incumbent is required to participate in the evaluation of new digital or technology related products/channels/service offerings.

KEY ACCOUNTABILITIES:

Strategic Contribution

• Ensure effective cascading of the functional strategy into department business plans to ensure vertical alignment and horizontal integration with other interfacing departmental strategies.

People Management

• Manage the effective achievement of assigned objectives through the leadership of the Fraud Technology and Analytics function by setting of individual objectives, managing performance, developing and motivating staff to maximise sectional performance.
• Lead the talent development initiatives for the function, collaborating with technical/discipline experts and thereby ensure the availability of talent to fit business requirements.
• Act as a role model and drive adherence to organisational values and ethics by employees of the function to foster a value driven culture within the bank.

Budgeting and Financial Planning

• Manage the preparation and recommend the fraud technology and Analytics budget and monitor financial performance versus the budget while ensuring all sectional activities are conducted in line with the approved guidelines.

Policies, Systems, Processes & Procedures

• Manage and ensure effective implementation of fraud technology and analytics functional policies, procedures and controls covering all areas of assigned department activity so that all relevant procedural/legislative requirements, fulfilled while delivering a quality, cost-effective service.

Continuous Improvement

• Lead the identification of opportunities for continuous improvement and sustainability of systems, processes and practices considering global standards, productivity improvement and cost reduction.

Reporting

• Ensure that all unit reports are prepared timely and accurately and meet FAB requirements, policies and quality standards.

Strategic Contribution

• Ensure effective cascading of the functional strategy into department business plans to ensure vertical alignment and horizontal integration with other interfacing departmental strategies.

People Management

• Manage the effective achievement of assigned objectives through the leadership of the Fraud Technology and Analytics function by setting of individual objectives, managing performance, developing and motivating staff to maximise sectional performance.
• Lead the talent development initiatives for the function, collaborating with technical/discipline experts and thereby ensure the availability of talent to fit business requirements.
• Act as a role model and drive adherence to organisational values and ethics by employees of the function to foster a value driven culture within the bank.

Budgeting and Financial Planning

• Manage the preparation and recommend the fraud technology and Analytics budget and monitor financial performance versus the budget while ensuring all sectional activities are conducted in line with the approved guidelines.

Policies, Systems, Processes & Procedures

• Manage and ensure effective implementation of fraud technology and analytics functional policies, procedures and controls covering all areas of assigned department activity so that all relevant procedural/legislative requirements, fulfilled while delivering a quality, cost-effective service.

Continuous Improvement

• Lead the identification of opportunities for continuous improvement and sustainability of systems, processes and practices considering global standards, productivity improvement and cost reduction.

Reporting

• Ensure that all unit reports are prepared timely and accurately and meet FAB requirements, policies and quality standards.

Job Context :

Specific Accountabilities

• Establish a Fraud Analytics function which will include all necessary components such as function design, establishing a fraud data repository, procurement and or installation of analytical tools.
• Collaborate with the Fraud Investigations, Strategy, Technology and Preventions verticles to understand the specific objectives/problem statements and analytics related challenges/requirements faced by the Fraud department.
• Manage POC\'s and projects related to fraud data and fraud analytics.
• Manage all activities related to the design of, fine tuning and operation of fraud detection models and fraud detection rules, including detection performance.
• Provide ongoing assistance to GRI verticles of Fraud Investigations, Governance, Fraud Strategy,
• Conduct ad-hoc analytics exercises by assessing the objectives of the analytics \xe2\x80\x9crequirement\xe2\x80\x9d, identify the data/information required in order to perform the exercise.
• Identify existing a new source of data that can improve data analytics output. Where the data is not readily available, to source the said data by through bank access processes.
• Ensure that the data employed for analytics purposes is standardized and \xe2\x80\x9ccleaned\xe2\x80\x9d to ensure accurate results.
• Conduct analytics exercises using specialized analytical tools susch as SAS EG, link analyses tools etc.
• Interpret the results of the analytics exercise and present the findings in a format that provides actional intelligence to the user.
• Conduct routine analysis of fraud related data to identify as yet unidentified patterns, anomalies, and trends associated with fraudulent activities.
• Assist system owner and fraud system team in conducting validations and performance estimations of proposed new or amended fraud prevention rules to determine their effectiveness.
• Work with fraud system owns around anomaly detection, predictive modeling, and classification techniques to improve the accuracy of fraud detection rules.
• Continuously monitor the performance (Analyze data quality, distribution, and drift) of deployed fraud detection models and recommend necessary adjustments to Head of Group Fraud Risk & Investigations to enhance accuracy and reduce false positives.
• Collaborate with data scientists and analysts to develop and refine rule-based and machine learning-based models for identifying suspicious transactions.
• Participate in squads piloting implementation of new AI/ML based technologies in fraud risk management.
• Collaborate with model governance team to ensure that fraud models are aligned to the Banks\'s internal and Regulatory standards and requirements.
• Create, maintain regular reports to the Governance and Oversight verticle to provide key fraud-related performance metrics to stakeholders.
• Pursue automation of routine tasks to improve departmental data and analytics efficiency.
• Participate in review of new product and processes of the bank to identify fraud risk vulnerability of the underlying technical system or operations and provide remedial recommendations to fraud prevention team.
• Provide data-driven recommendations for enhancing existing fraud prevention measures.

Qualifications

Minimum Qualification

• Bachelor\'s or Master\'s degree in Data Science, Statistics, Computer Science, or a related field.
• Certified Fraud Examiner (CFE) is desirable

Experience & Competencies

• Minimum 5 years experience in a data analytics role preferably in the financial or e-commerce sector.
• Knowledge of fraud in the financial industry a significant advantage.

• Strong proficiency in data analysis and data manipulation using tools like Python, SAS EG, SQL.
• Knowledge of data visualization tools e.g PowerBI will be an added advantage.
• Hands-on experience with machine learning and statistical modeling techniques.
• Knowledge of fraud detection tools, platforms, and methodologies a significant advantage.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork skills.
• Ability to work in a fast-paced environment and adapt to evolving fraud tactics.
• A good understanding of digital banking products and risks is a significant advantage.
• Excellent communication and presentation skills.

First Abu Dhabi Bank