<p><b>What role you will play in team:</b> Contribute to a team focused on financial modeling and risk assessment using cutting-edge data science techniques.</p><p><b>What you will do:</b> Develop and implement machine learning models for fraud detection, risk management, and other financial applications.</p><p><b>Key responsibility:</b><ul><li>Develop and maintain predictive models using statistical and machine learning methods.</li><li>Collaborate with business stakeholders to understand their needs and translate them into technical solutions.</li><li>Conduct exploratory data analysis to identify trends and patterns.</li><li>Communicate findings clearly and concisely to both technical and non-technical audiences.</li><li>Implement model monitoring and maintenance procedures.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Econometrics).</li><li>Experience with statistical modeling and machine learning techniques.</li><li>Proficiency in Python or R.</li><li>Strong communication and presentation skills.</li><li>Experience with big data technologies (e.g., Hadoop, Spark) a plus.</li></ul></p><p><b>Benefits Included:</b><ul><li>Comprehensive health insurance.</li><li>Generous paid time off.</li><li>Competitive salary and bonus structure.</li><li>Opportunities for professional development.</li></ul></p><p><b>A Day in the Life:</b>  You'll work closely with teams across various departments to analyze financial data, build and test models, and make data-driven recommendations.</p>