Fraud Analytics Manager, (Fraud Strategy & Analytics) – KSA

• This role demands collaboration with internal fraud risk & operations teams and clients to define strategies and implement effective rules to prevent fraud loses.

• Develops, implements effective fraud detection and prevention strategies to mitigate fraud losses
• Ensure an appropriate balance between risk, operational cost, and customer experience
• Develop, execute, implement fraud risk management strategies across issuing & acquiring fraud monitoring tools
• Providing fraud consultancy to the clients to mitigate risks and fraud threats
• Maximize potential data sources to use in building fraud defenses and ensure data integrity and analytical quality across key reports and rules.
• Supports the testing and deployment of newly onboarded clients.
• Develops business cases for incorporating new technologies
• Develop and reviews strategy/rule performance reports and communicates the fraud results to the
• To represent the Fraud Teams on projects from a fraud analysis and systems perspective, enhancements and work requests identifying and evaluating fraud risks and designing controls and solutions to mitigate these risks in the live environment
• Maintaining analytical support through data management, data quality escalations, data literacy with stakeholders, fraud operations and governance processes
• Analyzing large data volumes with analytical tools, e.g., SAS / R / Python
• Ability to communicate with the technical development team. Some knowledge/experience in software development will be useful since there are several systems that this role will oversee.
• Converts data from different sources into meaningful business intelligence to enhance decisions and financial performance
• Performs ad hoc analyses as requested by the senior management

• Experienced in tools Falcon FM, SAS FM, FICO Blaze, MasterCard Brighterion, MasterCard DI, VRM
• 10+ years of experience in fraud strategy or fraud analytics function in a FS organisation
• Strong data analysis, interpretation, and data visualization skills.
• Should have expert knowledge in SAS, SQL, R/Python & Excel VBA
• Strong passion for pulling your own data, performing analysis, and driving initial conclusions
• Knowledge of Fraud Risk systems and controls and their operating environments
• Experience preparing presentations for management & clients that present insights clearly &
• Experience writing complex queries to efficiently extract and manipulate large amounts of data.
• High attention to detail and proven ability to manage multiple, competing priorities simultaneously

Kingston Stanley