<p><b>What role you will play in team:</b>  You'll be a critical member of our fraud prevention team, working to identify and mitigate fraud risks across various payment channels.</p><p><b>What you will do:</b> You'll analyze transaction data, develop fraud detection models, and contribute to the overall enhancement of our fraud prevention strategies.</p><p><b>Key responsibility:</b><ul><li>Analyzing transaction data to identify fraudulent patterns and anomalies.</li><li>Developing and implementing fraud detection models and rules.</li><li>Monitoring key risk indicators (KRIs) related to fraud.</li><li>Collaborating with other teams (e.g., engineering, product) to improve fraud prevention systems.</li><li>Staying up-to-date on emerging fraud trends and techniques.</li><li>Preparing reports and presentations on fraud-related activities and results.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in statistics, computer science, or a related field.</li><li>0-1 years of experience in fraud analysis or a related field.</li><li>Strong analytical and problem-solving skills.</li><li>Proficiency in data analysis tools (e.g., SQL, Python).</li><li>Understanding of fraud prevention techniques and methodologies.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive compensation and benefits package.</li><li>Opportunities for professional growth and development.</li><li>A fast-paced and dynamic work environment.</li><li>Health insurance, paid time off, and other employee benefits.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves analyzing large datasets, developing fraud detection models, and collaborating with engineers to implement solutions. You will also monitor key metrics and provide regular updates on fraud trends.</p>