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A leading financial services firm is seeking an experienced Associate Director for their Global Data Management team in London. The successful candidate will manage investment security data and ensure quality control, with a focus on fixed income securities. Candidates should have a strong background in data management practices, excellent communication skills, and familiarity with data platforms like Refinitiv and Bloomberg. This is a mid-senior level role that requires collaboration across teams.
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At Barings, we are as invested in our associates as we are in our clients. We recognize those who work diligently for us and reward them for personal and professional integrity, communication skills, distinct competencies and expertise in specific strategies, ability to collaborate as a team member and true dedication to the interests of our clients.
We thank you for your interest in joining the Barings team, and invite you to explore our current employment opportunities.
Job Description
Title: Associate Director, Global Data Management
Business Unit: Global Data Management, EDG
Location: London, UK
Barings is a leading global financial services firm dedicated to meeting the evolving investment and capital needs of our clients and customers. Through active asset management and direct origination, we provide innovative solutions and access to differentiated opportunities across public and private capital markets. A subsidiary of MassMutual, Barings maintains a strong global presence with business and investment professionals located across North America, Europe, and Asia Pacific.
Job Summary
Barings’ Global Data Management team is seeking an experienced data management professional to join their group and assist with the oversight and development of the control infrastructure for investment security data used by our investment and operational platforms. The ideal candidate should have a good understanding of different asset classes, in particular extensive knowledge of fixed income securities, and understand the technical aspects of managing complex datasets.
Primary Responsibilities
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