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Data Maintenance and Cleansing Specialist

Job Req ID 21361355 Primary Location Warsaw, Poland Job Category Risk Management
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Institutional Credit Management (ICM) is an organization with objective of creating a world class, end-to-end wholesale credit management platform. In order to contribute to meeting the organization goals it is embedding a new Business Monitoring and Data Quality Team into Credit Risk Management Services (CRMS). The team will support senior leaders of ICM in managing the whole organization holistically and understanding how its components interact, and are aligned to deliver high quality results.

The Business Monitoring and Data Quality Team will consist of highly skilled and experienced assertive individuals who work with a "get-the-job-done" attitude. The team will be focused on the mission-critical business activities (BA) of ICM at a global level to identify and escalate "bellow the iceberg" issues that may not surface in business as usual work. The team will use a framework of reports, metrics and scorecards to detect obstacles in the end-to-end credit lending process. The second focus will be data in the credit systems: the team will work closely with data owners and adequate technology to improve quality and order of the critical data in the systems. Lastly the team will respond to urgent data clean-up requests to achieve "quick win" goals, but also look for strategic solutions to redesign processes/enhance technology aimed to eliminate such situations that require special urgent handling.

The candidates will need to have excellent communication skills to establish cooperative relations with senior management in ICM, various products and businesses, Risk, Technology and other parts of the firm across different regions to achieve the team objectives. The team will consist of the three essential elements: Business Monitoring, Reporting Analytics and Data Maintenance and Cleansing.

Responsibilities for the Data Maintenance and Cleansing Specialist role:

  • Check and verify the accuracy and completeness of data recorded in the credit systems;
  • Remediate any inaccurate data in the system;
  • Perform independent check of the data remediation results;
  • Support projects and initiatives for strategic solutions improving data accuracy and completeness.


  • Degree holder/ Candidate who is pursuing Bachelors/ Masters or equivalent that can commit to full time position;
  • 2-4 years of experience in similar area in financial institution;
  • Knowledge of credit lending processes, data management/quality aspect and ability to operate in the systems (must have);
  • Very good knowledge of English (verbal and written);
  • Strong in data analysis and data maintenance;
  • Proficient use of Microsoft Excel (Pivot Tables, Vlookup and etc.);
  • Strong attention to detail;
  • Comfortable to handle high volume of data;
  • Capable to work under pressure and tight deadlines.

We offer:

  • Work in a challenging area of the financial industry with one of the world's leading companies with exposure to variety of products, processes and controls
  • Cooperation with a high quality, international, multicultural and global team
  • Work in a friendly and diversified environment, appreciating differences in style and perspective and using them to add value to decisions leading to organizational success
  • Management supporting balanced and agile work (flexible working hours, home office)
  • Attractive benefits package (Benefit System, medical care, pension plan etc.)
  • A chance to make a difference with various affinity networks and charity initiatives

Exceptional candidates who do not meet these criteria may be considered for the role provided they have the necessary skills and experience.


Job Family Group:

Risk Management


Job Family:

Risk Exposure Monitoring & Management


Time Type:

Full time


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Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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