Vice President, Data Science – Private Equity Secondaries at Blackstone – New York | Jobyssey

Blackstone is the world’s largest alternative asset manager. Blackstone seeks to deliver compelling returns for institutional and individual investors by strengthening the companies in which the firm invests. Blackstone’s over $1.3 trillion in assets under management include global investment strategies focused on real estate, private equity, credit, infrastructure, life sciences, growth equity, secondaries and hedge funds. Further information is available at . Follow @blackstone on LinkedIn, X (Twitter), and Instagram.

Blackstone's Operating Team is a team of dedicated executives and advisors with decades of combined operational experience and expertise. They form a world-class operating platform that partners with Blackstone's investment and portfolio company management teams to advise and support across a wide range of operational initiatives, corporate functions, and business subject areas.

The group aims to leverage Blackstone's scale and expertise to support management in driving transformational growth and value-creation for all stakeholders across the investment lifecycle.

Blackstone Data Science (BXDS) is the firm-wide team that uses advanced analytics and statistical methods to make the group better investors and business operators. It consists of data scientists, engineers, and strategists who collaborate closely with investment teams to analyze complex datasets, develop predictive and analytical models, build production-quality data flows, and advise on smarter data utilization. BXDS is part of the firm's Operating Team. They work hand-in-hand with management teams to build more valuable businesses and accelerate growth.

Blackstone is seeking a Vice President within BXDS to focus on data science and investment analytics for Private Equity Secondaries. This individual will work closely with Blackstone’s secondaries investment professionals to develop analytical models, pricing frameworks, data infrastructure, and AI-enabled workflows that support more scalable and differentiated investment decision-making.

The ideal candidate will combine strong foundational data science and quantitative modeling expertise with commercial judgment, investment curiosity, and operate independently in a fast-paced, stakeholder-driven environment. This candidate should be comfortable moving across the full data science lifecycle: understanding investment problems, sourcing and structuring data, developing models, building repeatable workflows, communicating insights to business stakeholders, and helping drive adoption.

This role will focus heavily on modeling and analytics for secondaries, including pricing, portfolio company analytics, cash flow and NAV forecasting, benchmarking, scenario analysis, and AI/LLM-enabled workflows for processing and reasoning over complex investment materials. The candidate should bring new ideas to how data science can improve secondaries investing while also being hands-on enough to strengthen the underlying data and analytical infrastructure required to scale those ideas.

This is a high-impact role for someone who can drive projects end-to-end, partner effectively with senior investment stakeholders, and build practical, interpretable, and scalable solutions that directly support the investment process and scale across one of the firm’s most dynamic investment strategies.

Key Responsibilities

· Lead the development of data science models and analytical tools to support PE secondaries investment decision-making, with a focus on pricing, valuation, portfolio analytics, and underwriting.

· Partner closely with investment professionals to understand business needs, frame analytical questions, and translate them into practical data-driven solutions.

· Develop repeatable workflows that help the investment team evaluate opportunities more efficiently and consistently.

· Identify opportunities to use new datasets, modeling techniques, and AI/LLM tools to improve investment process.

· Build AI-enabled workflows to extract, summarize, and analyze information from investment materials such as GP reports, fund documents, financial statements, CIMs, and deal memos.

· Work with data engineering and technology partners to improve data pipelines, data quality, and the infrastructure supporting secondaries analytics.

· Drive projects independently from initial problem definition through execution, delivery, and adoption.

Relevant Profile

· 5+ years of experience in data science, quantitative analytics, investment analytics, machine learning, or a related data-driven role.

· Strong technical skills in Python and SQL, with experience working with complex and unstructured datasets.

· Experience building analytical models, forecasting tools, or decision-support systems in a business-facing environment.

· Strong foundation in statistics, predictive modeling, and quantitative methods.

· Experience working with financial, investment, transaction, fund-level, or portfolio company data.

· Familiarity with private markets, private equity, secondaries, asset management, fintech, or other investment-oriented domains is preferred.

· Practical experience with AI/LLM workflows, including document extraction, summarization, data normalization, or knowledge retrieval.

· Work across both modeling and data infrastructure, including data pipelines, data quality, and scalable analytical workflows.

· Strong communication skills, with the capability to explain technical concepts and model results to non-technical audiences.

· Effective relationship builder with strong stakeholder management and influencing skills.

· Self-starter who can independently manage projects, balance priorities, and deliver high-quality work with limited oversight.

· Bachelor’s degree in a quantitative field such as computer science, data science, statistics, or a related discipline; advanced degree preferred but not required.

The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion.

Expected annual base salary range:

$185,000 - $200,000

Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and job location. For roles located outside of the US, please disregard the posted salary bands as these roles will follow a separate compensation process based on local market comparables.

Additional compensation and benefits offered in connection with the role consist of comprehensive health benefits, including but not limited to medical, dental, vision, and FSA benefits; paid time off; life insurance; 401(k) plan; and discretionary bonuses. Certain employees may also be eligible for equity and other incentive compensation at Blackstone’s sole discretion.

Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training. All Blackstone employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy.

If you need a reasonable accommodation to complete your application, please contact Human Resources at 212-583-5000 (US), +44 (0)20 7451 4000 (EMEA) or +852 3656 8600 (APAC).

Depending on the position, you may be required to obtain certain securities licenses if you are in a client facing role and/or if you are engaged in the following:

Attending client meetings where you are discussing Blackstone products and/or and client questions;
Marketing Blackstone funds to new or existing clients;
Supervising or training securities licensed employees;
Structuring or creating Blackstone funds/products; and
Advising on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials.

Note: The above list is not the exhaustive list of activities requiring securities licenses and there may be roles that require review on a case-by-case basis. Please speak with your Blackstone Recruiting contact with any questions.

To submit your application please complete the form below. Fields marked with a red asterisk * must be completed to be considered for employment (although some can be answered "prefer not to say"). Failure to provide this information may compromise the follow-up of your application. When you have finished click Submit at the bottom of this form.

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