<p><b>What role you will play in team:</b> As a Data Analyst, you will be part of a team focused on leveraging data to improve our credit risk management processes. You will be responsible for extracting, cleaning, and analyzing data to provide insights that support decision-making.</p><p><b>What you will do:</b> Extract, clean, and transform large datasets using SQL and Python. Analyze credit risk data to identify patterns and trends. Develop reports and visualizations to communicate findings to stakeholders.</p><p><b>Key responsibility:</b><ul><li>Extract, transform, and load (ETL) credit risk data from various sources.</li><li>Perform data quality checks and data cleansing.</li><li>Develop and maintain data pipelines for efficient data processing.</li><li>Analyze credit risk data using statistical methods and machine learning techniques.</li><li>Develop reports and dashboards to visualize key findings.</li><li>Communicate insights and recommendations to stakeholders.</li><li>Collaborate with other team members to improve data quality and analysis processes.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science).</li><li>0-1 year experience in data analysis, with experience in the financial services industry a plus.</li><li>Proficiency in SQL and Python.</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Excellent analytical and problem-solving skills.</li><li>Strong communication skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and learning.</li><li>A fast-paced, dynamic work environment.</li><li>Opportunities to work with cutting-edge technologies.</li></ul></p><p><b>A Day in the Life:</b> You will spend your day working with large datasets, developing data pipelines, and communicating actionable insights to stakeholders.</p>