Senior Cluster Manager - Risk, Risk - Horizontal, Enterprise Risk

7 - 8 years

0 Lacs

Posted:2 weeks ago| Platform: Indeed logo

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Job Description

    Risk
  • Pune Corporate Office - Fountainhead
    Posted On
    27 Jul 2025
    End Date
    27 Jul 2026
    Required Experience
    7 - 8 Years

BASIC SECTION

Job Level

GB05

Job Title

Senior Cluster Manager - Risk, Risk - Horizontal, Enterprise Risk

Job Location

Country

India

State

MAHARASHTRA

Region

West

City

Pune

Location Name

Pune Corporate Office - Fountainhead

Tier

Tier 1

Skills

SKILL

SKILLS AS PER JD

Minimum Qualification

OTHERS

JOB DESCRIPTION

Job Purpose

“This position is open with Bajaj Finance ltd.” Manage and enrich Franchise customer data of 45 Cr to enable creation and generation of Pre-Approved offers, improve Approval rates by enriching data through verified sources and enable instant disbursals by continuously improving fill rates of verified information to help scale volumes in 3in1 App. Responsible for identifying data requirements and evaluating quality of data sourced through external vendors. This capability will help build scale on 3in1 App of the Company and targets to improve Market of the Company by 10% from current levels at the same portfolio risk levels

Duties and Responsibilities

3. PRINCIPAL ACCOUNTABILITIES (Accountabilities associated with the job)  Data Quality, Data Standardization & New Data Enrichment Management o Data Standardization & Data Quality o Ensure all Existing & Prospect records are maintained in a single repository o All other data points related to these records and any data enrichment to be maintained in a single repository o Define SOP & rules for duplicate identification and resolution o Define validation rules for data fields to ensure that junk data does not enter the repository o Prepare BRD and User Story for development of Internal Data Storage design that enables to maintain every data point received with tagging of Source, time, Verified / Non-Verified data and Confidence level of the same. o Define field quality validations and create data quality index o Define logic for flagging of Confidence levels for the data fields to enable end users of the data to use the data as per their confidence flagging o Governance of New Data element or New Data Source o Work with IT BIU team in creation of Real Time Data Quality dashboards o Responsible for ensuring error rates in Data Quality are maintained within threshold levels o Work with IT BIU team in creation of Data Confidence & Fill Rate dashboards o Define SOP and scope of activities for Data Quality management through Manual intervention to be executed through outsourced Credit Ops shop in Bareily o Control checks on data quality management done through Bareily shop o Define validation rules and confidence levels for any variable brought into the single repository o Responsible to ensure that the data tables have no data quality issues o Data Enrichment o Engage with Partnership team in validating the information is meeting the quality standards that have been defined o Will qualify whether data points from a Particular Partner or Source can be used for Enrichment o Will also identify and maintain list of sources, websites which are to be used for Data Enrichment  Stakeholder Management  Setup and convene Change Control Board meeting with all stake holders across all businesses and functions  Engaging with Data Partnership team for Data quality and Data Offer team for usage of data for offer generation  Engaging with EDW team for creating and managing tables  Team development  Identify the right talent at positions within the function  Establish individual performance expectations and regularly review individual performance of the team  Identify development needs of teams and provide appropriate opportunities (trainings for professional development etc.) to ensure teams are motivated and equipped to drive business

Required Qualifications and Experience

ucational Qualifications a) Qualifications  Post-graduation/ MBA/ Educational background in mathematical, statistical and data science orientations b) Work Experience  Minimum 7+ years of experience in EDW management  Experience with large data handling and quantitative analysis  Exposure to data analytics tools (Eg. SAS, SQL and Decision Tree) automated BI reports  Strong Problem-solving ability and analytical skills

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