BXMA, Analyst/Associate

Blackstone is the world’s largest alternative asset manager. We seek to create positive economic impact and long-term value for our investors, the companies we invest in, and the communities in which we work. We do this by using extraordinary people and flexible capital to help companies solve problems. Our $1.1 trillion in assets under management include investment vehicles focused on private equity, real estate, public debt and equity, infrastructure, life sciences, growth equity, opportunistic, non-investment grade credit, real assets and secondary funds, all on a global basis.

BXMA (Blackstone Multi-Asset Investing) manages $96 billion across a diversified set of businesses. We strive to generate attractive risk-adjusted returns for our clients across market cycles. Our strategies include Absolute Return, Multi-Strategy, Total Portfolio Management, and Public Real Assets.

Role Overview: BXMA designs commingled and customized investment solutions to help institutional investors achieve strong, risk-adjusted performance across asset classes and strategies. Our AI & Quantitative Analytics team sits at the intersection of our investment, operational, and technology functions. We partner with investment, portfolio management, risk, operations, legal, and technology teams to:

• Design scalable analytical solutions that support teams across the business, facilitate adoption of ML/LLM based workflows, and help define our broader AI and data strategy.
• Partner with our in-house technology teams to help define the development roadmaps for internal and 3rd Party services, ensuring that our business and technological development are operating in tandem.
• Onboard and govern high‑value data (structured and unstructured), alongside our Data Management team.
• Develop a deep understanding of our business across all Investment and operational functions, allowing for solutions tailored to each team to be built.
• Knowledge-share across the business via mentorship, training, and live demos to ensure best practices proliferate across teams as new solutions are developed.
• Maintain a comprehensive understanding of the evolving AI market landscape, enterprise level 3rd party application, and monitor LLM model development.

Key Responsibilities:

• Translate open‑ended questions into analytical workstreams; utilizing LLMs, Python, SQL, and more to automate and enhance our analytical capabilities.
• Work alongside our technology team to design scalable data pipelines, including transformations and data enrichment, for use in ML/LLM workflows.
• Document business requirements and produce user‑centric process maps and solution designs that effectively communicate technical requirements to both senior stakeholders and technology teams.
• Engage with our internal users across the business, monitoring project delivery and adoption of new tools.
• Assist with the onboarding of new 3rd Party data vendors, helping users to extract the most value from new applications on our platform.
• Contribute to cross‑training and knowledge sharing (Python/SQL/Copilot/etc.) to elevate capabilities across the firm.
• Maintain strong domain expertise across the Absolute Return, Total Portfolio Management, and Multi-Strategy Investing business lines, understanding our Investments and how we manage our operational platform.
• Develop analytics and insights using internal/external data to produce internal reporting and help drive strategic decision making.

Qualifications: Blackstone seeks individuals who are highly motivated, intellectually curious, and have a track record of excellence. The ideal candidate will bring:

• 2-7 years of relevant analytical experience (preferably within investment banking, asset management, alternatives, etc.).
• Undergraduate and/or postgraduate degree in STEM, Finance, or Computer Science.
• Experience utilizing LLMs and AI tools in an enterprise context (e.g. Microsoft Copilot).
• Strong quantitative and coding skills (Python / R / SQL etc.).
• Advanced Excel skills, any experience with VBA/Power Query is a plus.
• Familiarity with data engineering, data analytics, and business intelligence tools (e.g. Tableau / Snowflake / AWS / Sigma) would be advantageous.
• Working knowledge on fund economics, direct trading investments, and investor reporting across public and private markets (preferred).
• Strong analytical skills and a problem-solving mindset.
• Entrepreneurial spirit with a collaborative, team-oriented approach.
• Exceptional verbal, written, and visual communication skills, with meticulous attention to detail.
• Sound judgment, confidence, and the ability to work independently on ad hoc projects.

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.

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.