We are looking for an analytical, data-driven manager to own and continuously improve the Revenue Assurance and Fraud Management framework across multiple companies. This role will identify revenue leakage and fraud risks, strengthen existing controls, drive remediation, and help evolve current practices into a consistent, scalable, and integrated control framework tailored to each business model.

Responsibilities:

• Identify revenue leakage, fraud risks, and control weaknesses across financial and operational processes.
• Design, develop, and continuously improve controls, reconciliations, fraud scenarios, and red-flag indicators.
• Develop data-driven analyses and behavioral indicators to detect unusual behaviors and emerging patterns.
• Design and develop management dashboards that provide clear visibility into risks, trends, exceptions, and remediation progress.
• Lead investigations into suspicious cases, perform root-cause analysis, and follow through on corrective actions.
• Establish a common Revenue Assurance and Fraud Management framework across companies while tailoring controls to each company's business model and risk profile.
• Automate and scale continuous controls and monitoring activities.
• Track corrective actions across companies at defined intervals and ensure agreed actions are followed through to closure.
• Prepare and present periodic improvement reports covering findings, trends, remediation status, and control effectiveness.

Requirements:

• Minimum 4 years of relevant experience in Revenue Assurance, Fraud Management, Risk, Audit, or a similar control-focused function.
• Strong analytical capability and working knowledge of SQL and business intelligence (BI) tools.
• Good understanding of financial processes, payment flows, and internal controls.
• Strong systems thinking and an end-to-end view of business processes and control environments.
• High ownership and follow-through, with the ability to move from an initial signal or anomaly to a well-supported root cause.
• Strong stakeholder management and influencing skills across different teams and companies.
• Bachelor's degree in Finance, Accounting, Data Analytics, Industrial Engineering, Computer Science, or a related field.
• Experience defining and tracking fraud and revenue-assurance KPIs, including loss exposure, prevented/recovered value, alert quality, and remediation effectiveness.
• Experience prioritizing investigations and controls based on risk, financial impact, and operational capacity.
• Familiarity with Python or another scripting language for analytics or control automation is a plus.
• Experience leading cross-functional control, investigation, or remediation initiatives across multiple business units or companies.