The board
- Hours
- Full time
- Where
- New York
- Posted
- Sep 23
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 www.blackstone.com. Follow @blackstone on LinkedIn, X (Twitter), and Instagram.
Blackstone Real Estate
Blackstone is a global leader in real estate investing. Blackstone’s real estate business was founded in 1991 and has US $315 billion of investor capital under management.
What you'd do
- Real estate and public company valuation analysis
- Financial modeling and quantitative analysis using Excel, Python, proprietary real estate datasets, large language models, and other AI solutions
- Market research and data analysis, including use of machine learning and large language models to source, clean, structure, and synthesize data and documents from proprietary internal data as well as third party sources
- Proactively identifying opportunities to automate repetitive workflows, develop analytical applications, and apply AI-enabled workflows to streamline investment processes
- Partnering with Blackstone technology and other engineering teams to integrate emerging AI capabilities, internal data platforms, and quantitative techniques into investment-related workflows
- Development of Investment Committee materials and similar presentations to frame and support investment decisions
- Attending on-site property tours to refine key assumptions
- Leading due diligence and other deal execution workstreams
- Assisting with legal negotiations and related due diligence
What they want
- Strong understanding of accounting, finance, and economics
- Experience applying LLMs, AI agents, retrieval workflows, automation tools or enterprise AI applications preferred
- Familiarity with SQL, Python, APIs, databases, or similar technical tools preferred
- Interest in applying data platforms, automation, machine learning, and AI-enabled workflows to improve sourcing, diligence, underwriting, and asset-level decision making
- Willingness to contribute to new ideas and technical approaches that expand how the team uses proprietary data, automation, and AI to source, analyze, and execute investments
- Strong verbal and written communication skills
- A desire to work in a dynamic team environment
- Motivation to find solutions independently, and humility to acknowledge limits and uncertainties
- Sincere commitment to professional development
- Excellent attention to detail
- Starts
- 2026-09-23