Data Scientist - Credit Risk

Key Responsibility:

• Develop and implement machine learning models for credit risk assessment. - Analyze large datasets of financial and credit information. - Evaluate model performance and identify areas for improvement. - Collaborate with risk management professionals to implement models into business processes. - Present findings and recommendations to stakeholders. Qualification Required:

• Master's degree in a quantitative field (e.g., Statistics, Mathematics, Finance, Economics). - Proven experience developing and implementing machine learning models. - Strong programming skills (Python, R). - Excellent understanding of statistical modeling and hypothesis testing. - Experience with large datasets and data warehousing technologies. Key Responsibility:

• Develop and implement machine learning models for credit risk assessment. - Analyze large datasets of financial and credit information. - Evaluate model performance and identify areas for improvement. - Collaborate with risk management professionals to implement models into business processes. - Present findings and recommendations to stakeholders. Qualification Required:

• Master's degree in a quantitative field (e.g., Statistics, Mathematics, Finance, Economics). - Proven experience developing and implementing machine learning models. - Strong programming skills (Python, R). - Excellent understanding of statistical modeling and hypothesis testing. - Experience with large datasets and data warehousing technologies.