BI DS Modeler

Role & responsibilities

• End to end development of advanced analytics models addressing advanced analytics requirements arising from various businesses and functions of the Bank.
• The areas of modelling would span risk models (acquisition scorecards, portfolio risk models, etc.), marketing models (propensity, market-mix, retention models, digital marketing, etc.) and predictive analytics for other areas such as operations, strategic initiatives, etc.
• Liaise with various external vendors/ consultants to deliver advanced analytical solutions. Represent the BI Decision Sciences team at various meetings. There would be functional oversight of junior team members on project and mentoring basis.
• 3+ years of analytics experience. Preferable in BFSI Domain.
• Python/R/SAS - or similar analytics tool expertise is mandatory
• Real life experience working with machine learning/statistical techniques such as Logistic regression, Neural networks, SVM, XGBoost/GBM, Time Series Modelling, clustering techniques, decision trees etc. preferable.
• Experience in Analytics to help build credit risk acquisition models, customer segmentation and customer behaviour models. Experience in model monitoring, model deployment and Big Data will be a plus.
• Masters in Statistics, Computer Science, Economics, Mathematics, Engineering or Business Administration is preferred