<p><strong>What role you will play in team:</strong> Contribute to the detection and prevention of fraudulent activities within the credit portfolio using advanced analytical techniques.</p><p><strong>What you will do:</strong> Analyze transaction data to identify suspicious patterns, develop and implement fraud detection models, and work with other teams to improve fraud prevention measures.</p><p><strong>Key responsibility:</strong><ul><li>Analyze transaction data to identify suspicious patterns and potential fraud.</li><li>Develop and implement fraud detection models using statistical and machine learning techniques.</li><li>Monitor fraud trends and assess the effectiveness of fraud prevention measures.</li><li>Prepare reports and presentations on fraud detection activities for senior management.</li><li>Collaborate with other teams to improve fraud prevention processes.</li><li>Stay current on the latest fraud detection techniques and technologies.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science).</li><li>1-2 years of experience in fraud detection or a related field.</li><li>Strong analytical and problem-solving skills.</li><li>Proficiency in statistical software (e.g., SAS, R).</li><li>Knowledge of machine learning techniques.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>A dynamic and challenging work environment.</li><li>Excellent health insurance and retirement plan.</li><li>Generous paid time off and holidays.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day includes analyzing transaction data, developing and testing fraud detection models, and collaborating with other teams to improve fraud prevention measures. </p>