Risk Management Data Scientist

You will be responsible for developing and maintaining predictive models for credit risk assessment within the bank. Utilize machine learning techniques to build and improve models that identify and mitigate financial risk. - Develop and implement machine learning models for credit risk assessment. - Analyze large datasets of financial transactions and customer information. - Evaluate model performance and identify areas for improvement. - Collaborate with risk management and IT teams. - Maintain and update existing risk models. - Prepare reports and presentations on risk assessment findings. Qualification Required: - Master's degree in Statistics, Data Science, or a related field. - 3 years of experience in risk management or a related field. - Proficiency in Python or R and relevant machine learning libraries. - Experience working with large datasets and databases. - Understanding of financial regulations and risk management principles. The company offers competitive salary and benefits, opportunities for professional growth within the financial industry, and a chance to work in a challenging and impactful role. In a day in the life, you will be analyzing financial data, building and testing models, collaborating with risk management teams, and preparing reports on risk assessment findings. You will be responsible for developing and maintaining predictive models for credit risk assessment within the bank. Utilize machine learning techniques to build and improve models that identify and mitigate financial risk. - Develop and implement machine learning models for credit risk assessment. - Analyze large datasets of financial transactions and customer information. - Evaluate model performance and identify areas for improvement. - Collaborate with risk management and IT teams. - Maintain and update existing risk models. - Prepare reports and presentations on risk assessment findings. Qualification Required: - Master's degree in Statistics, Data Science, or a related field. - 3 years of experience in risk management or a related field. - Proficiency in Python or R and relevant machine learning libraries. - Experience working with large datasets and databases. - Understanding of financial regulations and risk management principles. The company offers competitive salary and benefits, opportunities for professional growth within the financial industry, and a chance to work in a challenging and impactful role. In a day in the life, you will be analyzing financial data, building and testing models, collaborating with risk management teams, and preparing reports on risk assessment findings.