Data Specialist

Skills and Competencies

• Strong ability to interpret, analyze, and validate complex ownership and entity relationship data
• High attention to detail with a strong commitment to data accuracy, integrity, and quality control
• Effective written and verbal communication skills, with the ability to respond clearly to client enquiries
• Strong organizational and time management skills, with the ability to manage multiple priorities in a fast paced environment
• Problem solving mindset with a proactive approach to process improvement and operational efficiency
• Ability to work independently while collaborating effectively with internal and external stakeholders
• Proficiency in Microsoft Office applications, particularly Excel, Word, and Outlook
• Fluency in French (native level) and strong proficiency in English, both written and spoken
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency
• Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use

Education

• Applicants must hold a completed university degree (bachelor’s or master’s level). Background in economics, finance, statistics, computer science, or related fields is preferred

Responsibilities

This role is responsible for managing, enriching, and validating ownership data to ensure the accuracy, consistency, and reliability of information delivered to internal and external clients.

• Maintain and enhance ownership links within the Ownership Back Office (OBO) database using automated data feeds and manual encoding
• Operate control mechanisms and matching processes to ensure data quality and integrity
• Respond to client requests and enquiries, providing timely, clear, and effective data support
• Support internal and external clients in accessing, understanding, and using ownership and entity data
• Deliver weekly updates covering a wide range of entities, including shareholders, subsidiaries, beneficial owners, global ultimate owners, funds, branches, vessels, directors, and foreign companies
• Continuously review and improve processes and procedures to increase efficiency, speed, and accuracy of data updates
• Expand existing data offerings by identifying new data sources and incorporating additional economic or demographic indicators
• Produce and maintain high quality documentation, including internal procedures, data definitions, methodologies, and FAQs
• Collaborate with colleagues and stakeholders to support broader data and client service objectives

About the Team

The team is responsible for delivering high quality ownership and entity relationship data to a global client base. Working at the intersection of data, research, and client support, the team plays a critical role in ensuring transparency, accuracy, and trust in complex ownership structures while continuously improving data coverage and processes. By joining the team, you will contribute to the future of data management in an environment that embraces continuous improvement, responsible AI adoption, and technology driven innovation.