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Data Analyst (Fraud)

Kuda Bank Lagos, Nigeria (On-site) Nov. 22, 2024 full-time
Full Job Description
<p><strong>About the role</strong></p><ul><li>We are seeking a highly skilled and detail-oriented Fraud Analyst to join our dynamic Fraud Team. In this role, you will play a key part in managing fraud queries, proactively preventing fraud incidents, and ensuring the security of our customers&#39; finances.</li></ul><p><strong>Key responsibilities:</strong></p><ul><li>Identifying and investigating cases of fraud across our various channels.</li><li>Analyze data and information to provide insights and recommendations.</li><li>Implementing measures to mitigate fraud risks and prevent fraudulent activities.</li><li>Conducting Fraud risk assessment on products and services.</li><li>Fraud data analytics to identify current trends, patterns and threats.</li><li>Monitoring all electronic transactions to detect suspicious patterns.</li><li>Handling escalations and providing timely resolutions to fraud-related issues.</li><li>Collaborating with internal stakeholders to identify trends and implement control measures.</li><li>Providing investigative findings on reported fraud cases to customers.</li><li>Perform other duties as required.</li><li>Compiling and presenting detailed reports on identified fraud cases, including the methods used, the impact, and the recommended preventive measures.</li></ul><p><strong>Requirements</strong></p><ul><li>Minimum of 4 years of experience in fraud analysis or a similar role.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent attention to detail and ability to work with large volumes of data.</li><li>Intermediate to advanced SQL an advantage.</li><li>Strong analytical and problem-solving skills.</li><li>Experience working in a fintech or other fast paced environment.</li><li>Proficient in Monitoring systems and rules tuning.</li><li>Knowledge of fraud prevention techniques and technologies.</li><li>Proficiency in using fraud detection tools and software</li><li>Good communication skills and ability to collaborate effectively with cross-functional teams.</li><li>Ability to work in a fast-paced environment and handle multiple priorities.</li><li>Proficiency in SQL for querying databases and extracting data for analysis.</li><li>Advanced skills in data analysis and the ability to use these skills to identify patterns and anomalies that may indicate fraud.</li><li>Bachelor&#39;s degree in a relevant field.</li></ul>
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