Associate Divisional Manager Data Sciences

As a Data Scientist Manager at our company, you will play a crucial role in leading a team of Data Scientists to develop predictive modeling solutions in credit risk and marketing for Consumer and Commercial lending portfolios. Key Responsibilities: - Provide insights by performing trend and variance analyses across the product suite for cross-selling activities from a risk and marketing perspective. - Assist Business teams in analyzing the root cause of trends, identifying incremental sales opportunities, and risk mitigation avenues. - Develop machine learning models, segmentation strategies, and mentor junior analysts in creating solutions that consider business aspects and operational constraints. - Ensure the implementation of operationally productive solutions and drive optimization in existing analytics solutions. Qualifications Required: - M.Tech / B.E / B.Tech / M.Sc in Computer Science, Statistics, or Mathematics. - Minimum of 8+ years of experience in data science. - Proficiency in Statistical/Machine Learning/Deep Learning Models. - Strong command of SQL and Python. - Experience in risk analytics, credit risk models, marketing analytics, marketing models, portfolio monitoring, and Expected Credit Loss (ECL) models. - Excellent analytical, logical, problem-solving, and numerical skills. - Familiarity with Python, SQL, and advanced Excel skills. (Note: Additional details about the company were not provided in the job description.) As a Data Scientist Manager at our company, you will play a crucial role in leading a team of Data Scientists to develop predictive modeling solutions in credit risk and marketing for Consumer and Commercial lending portfolios. Key Responsibilities: - Provide insights by performing trend and variance analyses across the product suite for cross-selling activities from a risk and marketing perspective. - Assist Business teams in analyzing the root cause of trends, identifying incremental sales opportunities, and risk mitigation avenues. - Develop machine learning models, segmentation strategies, and mentor junior analysts in creating solutions that consider business aspects and operational constraints. - Ensure the implementation of operationally productive solutions and drive optimization in existing analytics solutions. Qualifications Required: - M.Tech / B.E / B.Tech / M.Sc in Computer Science, Statistics, or Mathematics. - Minimum of 8+ years of experience in data science. - Proficiency in Statistical/Machine Learning/Deep Learning Models. - Strong command of SQL and Python. - Experience in risk analytics, credit risk models, marketing analytics, marketing models, portfolio monitoring, and Expected Credit Loss (ECL) models. - Excellent analytical, logical, problem-solving, and numerical skills. - Familiarity with Python, SQL, and advanced Excel skills. (Note: Additional details about the company were not provided in the job description.)