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A financial institution in Riyadh is seeking a Fraud Prevention Technology Manager to oversee fraud detection and analytics strategy. The role requires 8 years of experience in fraud or compliance technology and leadership within the banking sector. Responsibilities include ensuring compliance with regulations, enhancing fraud detection systems, and leading innovative prevention initiatives. This is an opportunity to make a significant impact on the organization's risk management efforts during their digital transformation.
Banking Industry
Contribute to the development and execution of the Bank’s Counter Fraud technology and analytics strategy in line with overall risk management objectives.
Oversee the implementation and ongoing enhancement of fraud detection systems, ensuring they effectively identify, monitor, and mitigate fraud risks.
Ensure fraud technology solutions and processes comply with SAMA regulations and internal governance frameworks.
Develop and manage departmental objectives, performance indicators, and operational plans to ensure continuous improvement and measurable impact.
Foster collaboration between technology, risk, compliance, and business units to ensure seamless integration of fraud prevention capabilities across the Bank.
Manage the implementation, review, and continuous improvement of fraud detection systems to ensure alignment with the Bank’s objectives, regulatory requirements, and evolving risk environment.
Lead the introduction of innovative fraud prevention tools and automation solutions to effectively detect and mitigate emerging fraud threats.
Oversee ongoing system monitoring, fine-tuning, and rule optimization based on fraud trends, product developments, and intelligence gathered from risk assessments.
Ensure the robustness and scalability of fraud management technologies to support the Bank’s growth and digital transformation initiatives.
Oversee the analysis of fraud data to identify trends, emerging threats, and control weaknesses, ensuring timely and data-driven responses.
Direct the development of fraud trend analysis reports and ensure the use of advanced statistical, machine learning, and visualization tools to enhance analytical outcomes.
Leverage network and behavioral analytics to uncover hidden connections and patterns in fraud activity, improving predictive detection capabilities.