Cluster Manager - Risk/Senior Cluster Manager - Risk

Job Purpose This position is open with Bajaj Finance ltd. Duties and Responsibilities Responsible for all Data Management, Analysis Reporting for Loans Cards. Regular data extraction/working on SQL to pull large set of data and share the inputs from the same with key stakeholders for reporting/analysis Preparation of Adhoc MIS and reports with utmost care and share same with internal stakeholders Define data requirements, run analysis and report/discuss results. Identify tools, data sources, develop project parameters and liaison with all concerned stakeholders to obtain data required and enable realistic project planning and execution. Responsible for developing data pipeline and data engineering components to support strategic initiatives and ongoing business processes. Strong Knowledge of SQL with analytical skills Having good hold with Advanced Excel, Word, and PowerPoint. Quantitative analysis within financial sector (retail preferred) Strong problem solving, quantitative, analytical and interpersonal abilities Data analysis and experiments, A/B testing, anomaly and pattern discovery on large structured and unstructured datasets and Big data Required Qualifications and Experience Responsible for all Data Management, Analysis Reporting for Loans Cards. Regular data extraction/working on SQL to pull large set of data and share the inputs from the same with key stakeholders for reporting/analysis Preparation of Adhoc MIS and reports with utmost care and share same with internal stakeholders Define data requirements, run analysis and report/discuss results. Identify tools, data sources, develop project parameters and liaison with all concerned stakeholders to obtain data required and enable realistic project planning and execution. Responsible for developing data pipeline and data engineering components to support strategic initiatives and ongoing business processes. Strong Knowledge of SQL with analytical skills Having good hold with Advanced Excel, Word, and PowerPoint. Quantitative analysis within financial sector (retail preferred) Strong problem solving, quantitative, analytical and interpersonal abilities Data analysis and experiments, A/B testing, anomaly and pattern discovery on large structured and unstructured datasets and Big data