Cluster Manager - Risk

Bajaj Finserv


Date: 3 weeks ago
City: Pune, Maharashtra
Contract type: Full time
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


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

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