<p><strong>What role you will play in team:</strong>  You'll be a key member of our data science team, applying advanced analytical techniques to improve our credit risk models.</p><p><strong>What you will do:</strong> Develop and implement machine learning algorithms to predict and manage credit risk, enhancing the accuracy and efficiency of our risk assessment processes.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement advanced analytical models for credit risk prediction and management.</li><li>Utilize machine learning techniques to improve the accuracy and efficiency of credit risk assessments.</li><li>Work with large datasets to identify patterns and trends related to credit risk.</li><li>Develop and maintain data pipelines for efficient data processing and analysis.</li><li>Collaborate with other data scientists and stakeholders to solve complex credit risk challenges.</li><li>Communicate findings and recommendations to senior management.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in data science, statistics, or a related field.</li><li>Experience with machine learning algorithms and techniques (e.g., regression, classification, clustering).</li><li>Proficiency in programming languages like Python or R.</li><li>Experience with big data technologies (e.g., Hadoop, Spark).</li><li>Strong communication and presentation skills.</li><li>Knowledge of credit risk management principles.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and advancement.</li><li>Work on cutting-edge technology.</li><li>Collaboration with experienced data scientists.</li><li>Challenging and rewarding work.</li></ul></p><p><strong>A Day in the Life:</strong> Building and testing machine learning models, analyzing data, collaborating with other data scientists, presenting findings, and contributing to the improvement of credit risk management.</p>