Private Markets Secondary Data Associate

Neuberger BermanNew York, NY

About The Position

Neuberger is building a high-performance Secondary Data Strategy capability to strengthen data quality, analytical insight, and scalable reporting across its private markets secondaries platform. The team focuses on creating reliable, well-structured data assets that support investment workflows, underwriting, reporting, and broader business decision-making. The Private Markets Secondary Data Associate is a junior onshore hire for the Secondary Data Strategy team. This role is execution-focused, with primary responsibility for deal-economics structuring, pricing and underwriting database population, and GP and fund name normalization. The individual will work closely with the offshore counterpart to support consistent, high-quality data capture and structuring across core secondaries workflows.

Requirements

  • 2–4+ years of relevant experience in data capture, financial data operations, investment data management, or a related function.
  • Strong data structuring capabilities and exceptional attention to detail.
  • Familiarity with financial or deal-related data and comfort working with structured and semi-structured information sources.
  • Ability to manage high-volume data capture work while maintaining quality and consistency.
  • Strong organizational skills and a disciplined, execution-oriented approach to work.
  • Applicants must be authorized and have the right to work in the country where the role is located without the need for current or future sponsorship.

Nice To Haves

  • Familiarity with CapIQ, PitchBook, Preqin, and Bloomberg.
  • Proficiency in Excel and working familiarity with SQL, VBA and Python.
  • Exposure to private markets, alternative investments, or related financial datasets

Responsibilities

  • Capture, structure, and maintain deal-economics and underwriting-related data within designated databases and workflows.
  • Populate pricing and underwriting datasets accurately and consistently, supporting downstream analysis and reporting needs.
  • Normalize GP, fund, and related entity naming conventions to improve consistency across internal systems and outputs.
  • Review source materials and extract relevant financial and deal data with a high degree of accuracy and attention to detail.
  • Partner with the offshore counterpart to coordinate execution, resolve data inconsistencies, and maintain agreed standards for data quality.
  • Support ongoing updates and maintenance of structured data repositories used by investment and business stakeholders.
  • Escalate exceptions, ambiguous cases, and data quality issues appropriately while helping improve standard operating procedures.
  • Contribute to process efficiency by identifying repeatable data capture patterns and opportunities for structured workflow improvements.

Benefits

  • paid time off
  • medical/dental/vision insurance
  • retirement
  • life insurance
  • discretionary bonus
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