Associate Divisional Manager - Data Sciences

Job Purpose: The position is responsible to manage and lead a team of Data Scientists, developing predictive modelling solutions in credit risk and marketing for Consumer and Commercial lending portfolios Key Responsibilities:Provide insights, perform trend and variance analyses across the product suite for cross sell activities from a risk and marketing perspectiveAssist Business teams with analyzing root cause of trends, identify incremental sales opportunities and risk mitigation avenuesDevelop machine learning models, segmentation and mentor junior analysts on development of solutions that incorporate business aspects and operational constraintsEnsure operationally efficient solutions and drive optimization in existing analytics solutionsJob Requirements: M.Tech / B.E / B.Tech / M.Sc in CS or Stats or MathsMin of 8+ years experience in data scienceExperience in Statistical/ Machine learning / Deep Learning ModelsStrong command of SQL and PythonExperience in risk analytics, credit risk models, marketing analytics, marketing models, portfolio monitoring, Expected credit loss (ECL) modelsExcellent analytics, logical, problem solving and numerical skillsFamiliarity in Python, SQL, Advanced excel skills Job Purpose: The position is responsible to manage and lead a team of Data Scientists, developing predictive modelling solutions in credit risk and marketing for Consumer and Commercial lending portfolios Key Responsibilities:Provide insights, perform trend and variance analyses across the product suite for cross sell activities from a risk and marketing perspectiveAssist Business teams with analyzing root cause of trends, identify incremental sales opportunities and risk mitigation avenuesDevelop machine learning models, segmentation and mentor junior analysts on development of solutions that incorporate business aspects and operational constraintsEnsure operationally efficient solutions and drive optimization in existing analytics solutionsJob Requirements: M.Tech / B.E / B.Tech / M.Sc in CS or Stats or MathsMin of 8+ years experience in data scienceExperience in Statistical/ Machine learning / Deep Learning ModelsStrong command of SQL and PythonExperience in risk analytics, credit risk models, marketing analytics, marketing models, portfolio monitoring, Expected credit loss (ECL) modelsExcellent analytics, logical, problem solving and numerical skillsFamiliarity in Python, SQL, Advanced excel skills