Data Analysis : - Design, develop, and deploy KPI goals and dashboards, build data-based insights (qualitative and quantitative) to measure the efficiency and effectiveness of business and data processes - Explore and stay current on industry best practices, bringing insights and ideas to help drive and shape future strategy and business planning; Identify key industry trends and how they impact the business / analytics & data processes Operations &amp; Execution : - Design the business analytics framework &amp; roadmap (with specific focus on credit risk analytics for Corporate, SME and consumer lending), manage analytics projects and programs, including influencing and aligning stakeholders across senior management - Work with business teams to decide on dashboard design, sample size, analytics methods used, model testing criteria, etc. - Lead the validation &amp; monitoring of model performance post its deployment - Enhancing data collection procedures to include information that is relevant for building analytic systems Algorithm Experience : - Predictive modelling (linear regression, logistic regression) - Classification (decision trees) - Time-series forecasting - Association modelling/rules - Cluster Analysis, Principal Component Analysis - Random forest modelling - ANOVA, t-test, z-test, F-test, chi square test - Ensemble Methods - Neural networks - Natural Language Processing - Hands on experience in Big data technologies &amp; analytics will be preferred - Knowledge of data warehousing, ETL tools and business intelligence concepts will be preferred - 5+ Experience with BI Reporting Tools in enterprise environment is a good to have - Predictive modelling (linear regression, logistic regression) - Classification (decision trees) - Time-series forecasting - Association modelling/rules - Cluster Analysis, Principal Component Analysis - Random forest modelling - ANOVA, t-test, z-test, F-test, chi square test - Ensemble Methods - Neural networks - Natural Language Processing - Hands on experience in Big data technologies &amp; analytics will be preferred - Knowledge of data warehousing, ETL tools and business intelligence concepts will be preferred - 5+ Experience with BI Reporting Tools in enterprise environment is a good to have

Bangalore

Mumbai

Edelweiss Financial Services - Data Scientist 

Edelweiss Financial Services - Data Scientist  ,Job Description for Edelweiss Financial Services - Data Scientist  in Edelweiss Financial Services Limited in  Bangalore Mumbai for (5-15) years of experience. Apply Now!

Job Description for Edelweiss Financial Services - Data Scientist  in Edelweiss Financial Services Limited in  Bangalore Mumbai for (5-15) years of experience. Apply Now!