<p><strong>What role you will play in team:</strong> You will be part of a team responsible for analyzing transaction data to detect fraud.</p><p><strong>What you will do:</strong> You will use statistical methods to identify suspicious transactions.</p><p><strong>Key responsibility:</strong><ul><li>Analyze large datasets of transaction data.</li><li>Develop and implement machine learning models to detect fraud.</li><li>Monitor and evaluate the performance of fraud detection models.</li><li>Collaborate with other data scientists and engineers.</li><li>Communicate findings to stakeholders.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in statistics, mathematics, or a related field.</li><li>2-4 years of experience in data analysis.</li><li>Proficiency in SQL and Python.</li><li>Experience with machine learning algorithms.</li><li>Excellent problem-solving skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>Dynamic and challenging work environment.</li><li>Work on impactful projects.</li></ul></p><p><strong>A Day in the Life:</strong>  A typical day involves analyzing data, building models, and collaborating with the team to improve fraud detection.</p>