Cluster Manager - Risk Senior Cluster Manager - Risk

Location Name: Pune Corporate Office - Fountainhead

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
  
  
  

•  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