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Job Details

Experience: 4-6 Years | Salary: INR Client is one of the best paymaster in the Industry | Opening(s): 1 | Posted Date : 2019-07-05
Hiring For One of the Leading MNC.
Job Description
  • Minimum 2+ years experience within an operations/data centric role
  • Strong knowledge of Microsoft Office, SQL, Alteryx or other data analytical tools
  • Ability to generate new ideas and proactively implement them into BAU activities
  • Strong organization skills to effectively coordinate multiple tasks and projects with various teams and at different levels
  • Ability to work efficiently and effectively with stakeholders globally
  • Excellent written and verbal communication skills, and the ability to effectively tailor communications to a diverse range of business and technical stakeholder groups
  • High attention to detail, ability to work with a high volume of critical data points
  • Availability to work flexible hours to cater for interactions with global stakeholders
Desired Profile
  • Developing a wider portfolio of data validations and corresponding operational processes
  • Building KPI metrics to understand data quality and areas of focus
  • Ensure data policies and principles are embedded in BAU activities
  • Review, improve and automate current data and reporting processes using new technologies
  • Using analytic tools to present information at various levels
  • Creating clear documentation of processes
  • Understanding stakeholders data requirements to provide fit for purpose data

Reference ID - GH/BFSI/JC//01072019//84919/Executive - Credit Data Integrity

Industries TypeInvestment Banking
Role Executive - Credit Data Integrity - With Leading Banking Industry Client
Skills Data Integrity, credit risk, data validation
Functional Area Business Analyst
Education Minimum Bachelors degree qualification with strong academic performance
Location Gurgaon
Keywords Data Integrity, credit risk, data validation
Contact HR
Telephone 01146547700
Reference id GH/BFSI/JC//01072019//84919/Executive - Credit Data Integrity