technologies-expected :

technologies-optional :

responsibilities :

Analyze existing KYC data to identify gaps, inconsistencies, and improvement areas
Collaborate with business and IT stakeholders across units to develop and implement data standards
Participate in major projects for the delivery of the Group KYC Tool
Cooperate with Data Architects and SMEs to create and maintain Business Information Models (BIM) aligned across the enterprise
Monitor data quality metrics and report findings to management
Investigate and resolve data quality issues, escalating complex cases as needed
Provide consultative services to agile delivery teams, ensuring adherence to data governance best practices
Support implementation of new KYC systems and processes, focusing on accurate data migration and integration
Use enterprise-approved tools to build reproducible data flows for reporting purposes
Implement testing, monitor data flow and reporting quality, perform necessary upgrades and maintenance
Collaborate with various stakeholders to analyze and visualize complex data clearly and accurately
Document data definitions, data lineage, and data quality rules
Participate in data governance/stewardship communities of practice
Contribute to development and maintenance of data governance policies and procedures
Stay updated on KYC data management regulations and best practices
Proactively identify opportunities for data quality and efficiency improvements

requirements-expected :

Proven experience in data management, data quality, or a similar role, ideally in financial services
Strong command of advanced SQL queries and familiarity with one or more programming languages (e.g., Python, R, Java, Scala)
Understanding of data taxonomy and ability to build small-scale data models
Proficiency in Power BI for report creation
Excellent stakeholder management skills; ability to work across IT, Architecture, Financial Crime, Compliance, Legal, and Business units
Experience in financial crime domains (AML, KYC, Transaction Monitoring, Sanctions), agile methodologies, and SAFe is an advantage
Professional, organized, and detail-oriented; committed to high-quality outcomes and optimal solutions
Strong analytical and problem-solving skills with a focus on data accuracy
Effective communicator with both technical and non-technical stakeholders
Ability to work both independently and collaboratively
Fluency in English (spoken and written) required

offered :

benefits :

technologies-optional :