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. Further information is available at www.blackstone.com. Follow @blackstone on LinkedIn, X, and Instagram.
Business Unit Overview:
Blackstone Multi-Asset Investing (BXMA) manages $90 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.
Job Title: BXMA- Total Portfolio Management, AI & Data Analyst
Job Description:
This role will focus on leveraging artificial intelligence (AI), machine learning (ML), and advanced data analytics to drive the management, visualization, and automation of data across BXMA’s Total Portfolio Management business. The business develops and manages custom client portfolios using an open architecture approach that integrates external fund investments, private market strategies, direct investing, and the Blackstone ecosystem.
This role is ideal for a candidate with a strong technical background in AI/ML, financial market knowledge, and designing and implementing AI-driven solutions that enhance data infrastructure and decision-making processes. It requires a mix of strategic thinking, technical expertise, and stakeholder management skills to deliver impactful results in a fast-paced environment.
The ideal candidate will use AI-driven methodologies to enhance data infrastructure, improve decision-making processes, and deliver scalable solutions that align with business goals.
Responsibilities:
AI & Data Infrastructure Development
Design, develop, and maintain highly scalable, computationally efficient AI-powered data solutions to support portfolio management and analytics.
Implement machine learning models and algorithms to optimize data processing, forecasting, and portfolio insights.
Stakeholder Collaboration
Gather requirements from business stakeholders to understand processes, pain points, and opportunities for AI-driven solutions.
Deliver tailored AI and data-focused solutions that align with business needs and objectives.
Data Governance & Automation
Identify opportunities to incorporate new data sets, AI models, and visualizations to improve adoption, data quality, governance, and reporting.
Automate workflows and reporting processes using AI tools and frameworks to enhance operational efficiency.
Cross-Team Coordination
Collaborate with investment professionals, technology teams, operations teams, and fund accountants to ensure seamless integration of AI-driven data solutions.
Liaise with internal teams and third-party providers to manage accurate data flows and AI model deployment.
AI-Driven Analysis & Visualization
Generate advanced analysis and visualizations using AI techniques to support business initiatives and portfolio optimization.
Work closely with technology colleagues to implement AI-powered solutions for predictive analytics and decision-making.
Quality Assurance & Innovation
Ensure data accuracy and consistency across teams while continuously improving AI models and solutions.
Stay updated on emerging AI technologies and methodologies to drive innovation across the business.
Project Management
Manage multiple AI-focused projects and deadlines, identifying paths forward and delivering solutions that drive results.
Qualifications:
Blackstone seeks to hire individuals who are highly motivated, intelligent, and have demonstrated excellence in prior endeavors. In addition, the successful candidate should meet the following qualifications:
4+ years of relevant work experience, including sourcing, cleaning, managing, and analyzing large data sets.
Experience in AI/ML applications, consulting, financial services, project management, and/or business analytics preferred.
Strong knowledge of financial markets and how to apply AI techniques to portfolio management and investment strategies.
Proficiency in SQL, Python, and modern data warehousing techniques.
Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Advanced skills in Microsoft Excel, Tableau, and data visualization tools.
Familiarity with Addepar is a plus but not required.
Strong strategic thinking to align AI initiatives with business goals and objectives.
Exceptional problem-solving and troubleshooting skills; effectively navigates ambiguity and delivers results.
Excellent communication skills to engage, persuade, and drive consensus among business stakeholders and technical teams.
Effectively conducts user research and clearly communicates findings using AI-driven insights.
Highly adaptable, effectively shifts between analytical, strategic, and operational aspects of the role.
Passion for innovation and staying ahead of trends in AI and data analytics.
Undergraduate degree required; advanced degrees in data science, AI, or related fields are a plus.
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:
$110,000 - $125,000Actual 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.
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