Vice President, GP Stakes, Market Trends & Analytics

Blue Owl Capital • New York, NY

4d • $200,000

About The Position

Blue Owl Capital is seeking a Vice President to support the Market Trends & Analytics function within its GP Stakes business. This role focuses on extracting insight from large, proprietary datasets to understand how private markets are evolving in practice—not just as reported by third-party data providers or reflected in market commentary. The GP Strategic Capital platform within Blue Owl is dedicated to acquiring minority equity stakes in and providing long-term financing to established alternative asset managers. Since December 2011, the team has formed 70+ partnerships with leading institutional quality alternative asset management firms. GPSC is seeking to add a member to its Investment Team with a data governance background. This individual will bear day-to-day responsibility for managing the data workflow and governance programs within the business unit. The role is designed for an experienced analytical professional who is highly comfortable working with data at scale: shaping raw information, testing assumptions, and making deliberate analytical choices about how trends are measured and presented. This is a non-client-facing role with meaningful influence on internal decision-making and external perspectives. The Vice President will be the primary owner of deep analytical work within the Market Trends & Analytics function, while working closely with research, portfolio monitoring, and data colleagues. The role is collaborative but intentionally structured to minimise internal politics and maximise focus, autonomy, and quality of output. This is intentionally a senior individual-contributor role. While responsibility, influence, and scope can grow over time, the position is not designed as a people-management or client-facing role. You will have the ability to Access to a proprietary dataset offering rare visibility into GP-level and fund-level private markets dynamics. As well as the opportunity to shape internal investment views and underwriting assumptions and direct involvement in external thought leadership grounded in real underlying data.

Requirements

• Strong experience working hands-on with large datasets and making judgement calls about how data should be treated, structured, and interpreted
• Comfort moving beyond surface-level outputs to question assumptions, methodologies, and edge cases
• Experience with financial or quantitative data; familiarity with asset management or private markets is helpful but not essential
• A background that may include asset management, accounting, consulting, research, data analytics, or analytically intensive roles in other sectors
• Experience operating in professional environments with limited supervision, owning work end-to-end
• A collaborative approach with a genuine interest in producing high-quality analytical work
• Expertise building and refining analysis, testing ideas, and developing well-reasoned views over time

Responsibilities

• Working with large, complex, and imperfect datasets covering GP economics, fundraising activity, fund structures, and portfolio performance
• Cleaning, normalizing, and structuring data to make it suitable for longitudinal analysis and scenario testing
• Designing and running analytical scenarios to explore market trends and sensitivities, including alternative ways of framing results (e.g. value-weighted vs count-based analysis, cohort definitions, structural adjustments)
• Iterating quickly on analysis in response to senior input—refining assumptions, methodologies, and presentation as questions evolve
• Producing analysis that informs internal decision-making, including underwriting assumptions and views on long-term market dynamics
• Contributing to external research and thought leadership that helps investors and GP partners reconcile what they see in the media, PitchBook, or Preqin with what is actually happening on the ground
• Working closely with the Portfolio Monitoring team to ensure outputs reflect real GP- and fund-level experience
• Partnering with an internal data scientist responsible for data cleansing, automation, and tooling, with clear ownership of analytical logic and interpretation

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed