Unit 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