Zweigstelle
Geneva
Eintrittsdatum
01.05.2025
Arbeitszeiten
100%
Art des Arbeitsvertrags
Temporary
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Description
The Bank’s entire operations are managed by COO Division and are headed up by the Chief Operating Officer. It strives to provide both in-house and external clients with a first-rate service to ensure our business operates efficiently and at the best possible cost. The COO division comprises Operations, Finance, Information Management, Human Resources and Logistics. COO Division employees are committed to providing, with professionalism and enthusiasm, an efficient, proactive, high-quality service that meets the needs of clients within the context of the Bank’s overall strategy.
Mission
Client Data Remediation.

Main responsibilities

• Execute data remediation strategies by identifying, analyzing, and resolving data issues within the banking systems.
• Collaborate with IT teams to develop and implement data cleansing and data migration strategies.
• Collaborate with various teams to develop and implement data quality improvement initiatives.
• Conduct detailed data analysis to identify trends, patterns, and root causes of data discrepancies or anomalies.
• Develop and maintain data remediation plans, including timelines, milestones, and progress tracking.
• Design and implement data validation procedures to ensure the accuracy and completeness of data remediation efforts

Personal skills
Solid organization and time management skills Strong attention to details Data analysis skills Express opinions and criticism in a constructive way
Education
Education: Bachelor Degree
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Experience

• Years of experience: 0-3 : beginner

• Experience required: at least 1-year’ experience in a similar position in the banking sectorExperience in private banking: Optional

Language

• French: FluentEnglish: Fluent

• Execute data remediation strategies by identifying, analyzing, and resolving data issues within the banking systems.
• Collaborate with IT teams to develop and implement data cleansing and data migration strategies.
• Collaborate with various teams to develop and implement data quality improvement initiatives.
• Conduct detailed data analysis to identify trends, patterns, and root causes of data discrepancies or anomalies.
• Develop and maintain data remediation plans, including timelines, milestones, and progress tracking.
• Design and implement data validation procedures to ensure the accuracy and completeness of data remediation effort