The Manager will lead sophisticated analytical activities designed to strengthen financial risk management, transaction intelligence, fraud prevention, and data-driven decision-making. The position combines quantitative analysis, financial technology, risk governance, and operational intelligence.

Key Responsibilities

• Lead analytical programmes covering transaction risk, fraud exposure, customer risk, payment behaviour, and financial anomalies.
• Develop analytical frameworks for identifying emerging risk patterns across digital financial products.
• Oversee the design and optimisation of risk indicators, monitoring methodologies, and analytical controls.
• Analyse large and complex datasets to identify trends, correlations, anomalies, and emerging threats.
• Partner with data scientists and technology teams to improve risk-scoring and analytical models.
• Translate quantitative findings into practical recommendations for senior management.
• Establish management reporting frameworks covering risk exposure, trends, incidents, and control effectiveness.
• Conduct root-cause analysis following significant fraud, financial-risk, or transaction-related incidents.
• Support the development of predictive approaches to identify potential financial-risk events before they escalate.
• Collaborate with compliance, cybersecurity, finance, operations, product, and technology teams.
• Review the effectiveness of existing controls and recommend measurable improvements.
• Maintain appropriate documentation of analytical methodologies, assumptions, findings, and management actions.
• Monitor developments in digital financial crime, payment risks, and emerging fintech vulnerabilities.

Professional Requirements

• Bachelor’s or Master’s degree in Finance, Economics, Mathematics, Statistics, Data Science, Business Analytics, or a related discipline.
• 5+ years of experience in financial risk, fintech analytics, banking, fraud analytics, data analysis, or a comparable environment.
• Strong quantitative and analytical reasoning skills.
• Advanced proficiency with analytical tools such as SQL, Excel, Python, R, Power BI, or comparable platforms.
• Understanding of financial products, transaction lifecycles, digital payments, and risk-management principles.
• Experience developing management information, analytical models, dashboards, and risk indicators.
• Strong leadership and stakeholder-management capabilities.
• Exceptional attention to detail and ability to communicate complex analytical conclusions to non-technical audiences.

Professional Value

The position provides a strong platform for professionals seeking to operate at the intersection of financial intelligence, advanced analytics, fintech risk, fraud prevention, and strategic decision-making, with a clear pathway toward senior risk and financial-data leadership.

Are you interested in this position?

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