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Director of Fraud Technology

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: Kanz
Full Time position
Listed on 2026-01-27
Job specializations:
  • IT/Tech
    Cybersecurity
  • Finance & Banking
Salary/Wage Range or Industry Benchmark: 200000 - 300000 SAR Yearly SAR 200000.00 300000.00 YEAR
Job Description & How to Apply Below

Overview

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.

Qualifications
  • 8 years experiance in Fraud or compliance Technology or IT Risk
  • Experiance in the banking industry
  • Experiance in leadership role
  • Experiance in IBM SP and SAP BO
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