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Blue Owl (NYSE: OWL) is a leading asset manager that is redefining alternatives.

With over $315 billion in assets under management as of March 31, 2026, we invest across three multi-strategy platforms: Credit, Real Assets and GP Strategic Capital. Anchored by a strong permanent capital base, we provide businesses with private capital solutions to drive long-term growth and offer institutional investors, individual investors, and insurance companies differentiated alternative investment opportunities that aim to deliver strong performance, risk-adjusted returns, and capital preservation.

Together with over 1,390 experienced professionals globally, Blue Owl brings the vision and discipline to create the exceptional. To learn more, visitwww.blueowl.com

This role is in office Monday to Thursday.

The Role

Blue Owl Capital is seeking a Vice President to join the Market Trends & Analytics function within its GP Strategic Capital business. The role focuses on extracting insight from large, proprietary datasets to understand how private markets are evolving in practice, beyond what is reflected in thirdparty data or market commentary.

This is a senior individualcontributor role for an analytically rigorous professional comfortable working with data at scale, shaping raw information, testing assumptions, and making deliberate methodological choices. The Vice President will own deep analytical work within the function, partnering closely with research, portfolio monitoring, and data colleagues to inform underwriting assumptions, internal investment views, and external thought leadership.

The position is nonclientfacing and not designed for people management. It offers rare access to GP and fundlevel private markets data, meaningful influence on decisionmaking, and a highly focused, lowpolitics environment that prioritizes autonomy and quality of output.

Responsibilities

• Own and develop analytical outputs that sit at the core of the GP Stakes platform

• Work with large, complex, and imperfect datasets covering GP economics, fundraising activity, fund structures, and portfolio performance

• Clean, normalize, and structure data for longitudinal analysis and scenario testing

• Design and execute analytical scenarios to assess market trends and sensitivities, including alternative framings (e.g., valueweighted vs. countbased analysis, cohort construction, structural adjustments)

• Iterate quickly in response to senior feedback by refining assumptions, methodologies, and presentation as questions evolve

• Produce analysis that informs underwriting assumptions and internal views on longterm market dynamics

• Contribute to external research and thought leadership that helps investors and GP partners reconcile media narratives and thirdparty data with observed market behavior

• Work closely with the Portfolio Monitoring team to ensure output reflects real GP and fundlevel experience

• Partner with an internal data scientist on data cleansing, automation, and tooling, with clear ownership of analytical logic and interpretation

Qualifications

• Genuinely datasavvy, analytically rigorous, and comfortable working through complexity rather than relying on standard templates

• Strong handson experience working with large, messy datasets and making judgment calls about data treatment, structuring, and interpretation

• Ability to move beyond surfacelevel outputs to interrogate assumptions, methodologies, edge cases, and data limitations

• Experience designing analytical frameworks and defining metrics where no clear industry standard exists

• Experience with longitudinal analysis, cohort construction, and sensitivity or scenario testing across evolving datasets

• Comfort working with financial or quantitative data; familiarity with asset management or private markets is helpful but not required

• Fluency with analytical tools and data environments (e.g., SQL, Python, R, or comparable platforms) to manipulate, validate, and analyze data at scale

• Ability to translate complex, technical analysis into clear, defensible insights for senior stakeholders

• Background that may include asset management, quantitative research, consulting, accounting, data analytics, or other analytically intensive roles

• Experience operating with limited supervision and owning analytical work endtoend, from raw data through conclusions

• Collaborative mindset with a strong bias toward precision, intellectual honesty, and quality of output

• Demonstrated ability to build, stresstest, and refine analytical views over time as new data and feedback emerge

It is expected that the base annual salary range for this New York City-based position will be $200,000. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance.