Blackstone Multi-Asset Investing (BXMA) - Product Management, Associate (BSOF)

Job Description

Blackstone Multi-Asset Investing (BXMA) manages $101 billion across a diversified set of businesses. The Product Management team supports the firm’s investment platform by delivering high-quality client and prospect-facing materials. This role plays a critical part in executing the team’s mandate by responding to client inquiries, producing analytical outputs, and developing client service and marketing content.

Key Dimensions of the Role

• Client Service and Marketing Support – Responding to a wide range of client and prospect inquiries by producing timely, accurate, and well-structured materials.
• Content Development & Production – Creating and maintaining client- and prospect-facing materials, including marketing presentations, portfolio review decks, and customized presentations.
• Data Analytics – Producing recurring and ad-hoc reporting deliverables, including performance summaries and portfolio analytics, using tools such as Excel, SQL, Python, Sigma, Tableau.
• Quality Control – Maintaining a high standard of quality across all outputs, including numerical accuracy, formatting precision, and visual consistency.
• Cross-Functional Collaboration – Working with Investment, Sales, Client Service, Operations, and Compliance teams to gather inputs, validate information, and ensure deliverables meet both business and regulatory requirements.
• Learning & Development – Building foundational knowledge of investment products, portfolio construction, and performance drivers.

Role Requirements & Success Profile

• Experience & Professional Background – 2+ years of experience in investment management, investment banking, financial analysis, reporting, consulting, or a related data science or quantitative role. Exposure to financial markets, portfolio analytics, or content preferred. Experience working in a deadline-driven, high-output environment.
• Core Attributes – Analytical and Technical Capability – Strong problem-solving skills and attention to numerical accuracy. Strong proficiency in Excel, basic familiarity with tabular data manipulation via SQL and Power Query. Some familiarity with mainstream data science tools including Python a plus. Attention to Detail – High level of precision in data, formatting, and presentation. Communication Skills – Clear and concise verbal, written, and visual communication. Project Management – Managing multiple deliverables and deadlines effectively. Work Ethic & Reliability – Consistently delivers high-quality work on time in a fast-paced environment. Quality Orientation – Maintains high standards for both content accuracy and presentation. Team Collaboration – Works effectively with colleagues across functions and levels. Learning Agility – Demonstrates curiosity and a willingness to build investment and technical knowledge over time. Open to learning new data science tools and ways to analyze and transform data. Execution Focus – Comfortable operating in a detail-oriented, execution-heavy role with high expectations for output. Technical & Analytical Capabilities – Advanced proficiency in Excel and financial modeling, including structuring, auditing, and troubleshooting complex analyses. Comfort working directly with raw data sets in SQL, tabular data manipulation, and data visualization platforms. Some experience with Python a plus. Basic understanding of investment concepts, including performance measurement, benchmarks, and portfolio construction. High degree of comfort working with data sets and transforming them in line with business logic. Translating data into clear, structured, accessible, client-friendly outputs.