The Head of Fraud Analytics and Reporting is a senior strategic leader responsible for leading the organization's efforts to detect, analyse, report and mitigate fraud risks using data-driven insights and robust reporting frameworks. The role holder is responsible for driving the organization's fraud analytics strategy, establishing robust reporting frameworks, and ensuring proactive identification and mitigation of fraud risks across products, channels, and geographies. The role leverages advanced analytics, predictive modelling, and real time monitoring to strengthen fraud detection capabilities while providing clear, actionable intelligence to senior leadership, risk committees, and regulators.
Key Responsibilities
Lead Fraud Analytics Strategy & Execution
Develop and implement advanced analytics frameworks to detect, monitor, and prevent fraud across products, channels and systems.
Design, build and deploy predictive models, machine-learning solutions and real-time monitoring to identify suspicious patterns and reduce fraud losses.
Define and track key fraud metrics (KPIs/ KRIs) and evaluate model and rule performance to optimize detection capability.
Oversee Fraud Detection Systems & Reporting
Own fraud reporting governance including dashboards, management information (MI), monthly/quarterly reports, and regulatory reporting to senior leadership and risk committees.
Ensure accurate, timely, and actionable insights from data visualizations and analytical reports used for decision-making and risk oversight.
Provide root-cause analysis of significant fraud events and trending insights to influence strategy and controls.
Stakeholder Engagement & Collaboration
Partner with key internal teams (Risk, Compliance, IT, Operations, Product, Finance) to embed analytics in fraud prevention controls and ensure alignment with business objectives.
Represent the function in cross-departmental governance and contribute to enterprise-wide risk and fraud mitigation initiatives.
Collaborate with external stakeholders such as regulators, industry groups and vendors on fraud trends and reporting expectations.
Team Leadership & Capability Development
Build, lead and mentor a high-performing team of data analysts, data scientists and reporting specialists focused on fraud analytics.
Drive talent development through coaching, performance management, and training on emerging trends and analytical tools.
Foster a learning culture that embraces innovation and continuous improvement in analytics practice.
Governance, Policy & Control Frameworks
Establish and maintain analytics standards, policies and fraud reporting procedures consistent with regulatory requirements and enterprise risk frameworks.
Ensure controls around analytics models, data integrity and reporting meet quality and compliance standards.
Propose enhancements to fraud detection infrastructure, technologies or tools based on analytics and market developments.
Core Accountabilities and Deliverables
Fraud Governance & Risk Oversight
Establish, maintain and strengthen the fraud risk governance framework aligned with enterprise risk standards and regulatory expectations.
Ensure fraud risk policies, procedures, analytics methodologies and controls are up to date, effective, and consistently applied across the business.
Monitor fraud risk levels against the organisation's risk appetite and escalate trends or breaches appropriately.
Analytics Strategy & Execution
Lead the development and execution of advanced analytics, predictive modelling and monitoring capabilities to detect emerging fraud patterns and reduce losses.
Drive continuous improvement of analytics tools, data models and automation to enhance detection accuracy and response time.
Validate and govern analytical techniques and models to ensure performance and reliability.
3. Reporting & Insights Delivery
Oversee timely delivery of high-quality fraud management information (MI), dashboards, risk reports and trend analyses for executive leadership, risk committees and regulators.
Translate complex data into clear, actionable insights that inform strategic decisions and operational improvements.
Ensure data quality, integrity and consistency across all reporting channels.
Operational Leadership
Drive coordination between Analytics, Operations, Compliance, IT and other relevant functions to embed fraud controls into business processes.
Lead strategic fraud initiatives, including automation, process redesign, and technology enhancement projects to strengthen fraud defenses.
Support incident response and investigation escalation when significant fraud events occur.
People Leadership & Capability Development
Build and lead a high-performing team of analysts and reporting specialists focused on analytics excellence.
Set clear performance objectives, coach team members and foster a culture of continuous learning and innovation.
Ensure talent development and succession planning within the fraud analytics function.
Compliance & Regulatory Engagement
Ensure fraud reporting meets all regulatory, legal and internal governance requirements.
Prepare and present fraud insights for regulatory examinations, audits, board committees and external partners as required.
Collaborate with compliance and audit teams on control assessments and remediation plans.
Qualifications
Experience Requirements
Analytics & Fraud Domain Experience
Over 8 years in fraud analytics, risk management, financial crime, or a comparable field.
Experience understanding fraud typologies and applying analytics to detect, prevent, and mitigate fraud.
Proven track record of using data to derive insights and influence decisions regarding fraud strategy.
Leadership & Management Experience
Over 4 years of management or leadership experience — leading analytics teams, coordinating cross-functional work, or driving strategy execution.
Experience in managing resources and developing talent, particularly within fraud or risk analytics functions.
Technical & Analytics Deployment Experience