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Job description
Design and scale data infrastructure for private equity and private debt strategies. Work with fund administration, operations, and analytics teams to model, move, and govern data across a complex environment.
Develop and optimize data models, design and build scalable ETL/ELT data pipelines, implement data quality checks, and collaborate with users and development teams.
Required strengths include data engineering experience, financial markets data domain experience, and AI tools fluency. The role offers growth opportunities, autonomy, and impact in a complex environment.
Company
Finance
Neuberger Berman is an employee-owned, independent investment manager founded in 1939 that employs nearly 3,000 professionals across 27 countries. The firm manages $563 billion in diversified portfolios—including equities, fixed income, private equity, real estate, and hedge funds—for institutional investors, advisors, and individual clients worldwide. Its core philosophy centers on active management, rigorous fundamental research, and engaged ownership, enabling tailored solutions that align with client objectives. Consistently ranked the top workplace in money management by Pensions & Investments, Neuberger Berman’s culture of collaboration and long-term thinking distinguishes it within the global asset-management industry.
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