About this roleRole Overview:We are seeking high-performing individuals to design, build, and deploy next-generation analytical tools that sit alongside and extend the Aladdin platform to enhance investment workflows. These capabilities support a wide range of use cases, including portfolio construction, investment research, relative value analysis, and increasingly, AI-enabled decision support.
This role involves working closely with investment teams to identify high-impact opportunities, rapidly prototype ideas, and iterate based on real-world feedback. The focus is on translating complex analytical capabilities into intuitive, fit-for-purpose solutions that integrate seamlessly into how investment teams operate.
Successful candidates will wear multiple hats, acting as hands-on analytics developers, internal technology advocates, and business-oriented project managers. On the technical side, they will demonstrate a strong aptitude for learning our proprietary technology ecosystem, and for working with various programming languages and technology stacks. They should also possess technical fluency in AI, Python, and database languages, along with experience building end-to-end analytical applications. Equally important are the ability to engage effectively with stakeholders and a solid understanding of financial markets and instruments.
Opportunities by Investment Team:The PAG team is hiring for 3 Associate roles in New York. While all positions align with the core responsibilities outlined above, each role will partner with a different investment team and support distinct business priorities.
- Fixed Income: Partner with Portfolio Managers across the Fixed Income Group to develop and deliver data- and technology-driven analytics that help the business generate alpha, differentiate itself, and operate more efficiently and at scale.
- Multi-Asset Strategies: Partner with Portfolio Managers across the Multi-Asset Solutions and Strategies Group to deliver asset allocation and portfolio construction solutions across the lifecycle (e.g., strategic and tactical asset allocation), support risk budgeting, and leverage AI to enhance existing workflows and improve productivity.
- Private Markets: Partner with BlackRock's Private Financing Solutions Business to deliver solutions across the investment lifecycle, including deal due diligence, portfolio monitoring and cash flow forecasting.
Key Responsibilities:As an analytics and technology SME:- Communicate insights, methodologies, and outputs clearly through presentations, discussions, and written materials
- Develop a deep understanding of the Aladdin ecosystem, including its analytical capabilities and financial models, to identify opportunities and gaps
As a business-oriented project manager:- Build and maintain strong partnerships with investment teams, identifying high-impact opportunities and driving execution from ideation through deployment
- Build a strong understanding of asset-class-specific investment processes and operate as a credible partner to portfolio managers
- Apply strong project management discipline across initiatives, including prioritization, stakeholder coordination, and timely delivery
- Partner closely with engineering teams to productionize solutions and ensure scalability, reliability, and long-term maintainability
As a hands-on analytics developer:- Translate complex analytics into intuitive, fit-for-purpose tools that integrate directly into investment workflows and enhance decision-making
- Design and deliver analytical tools that support portfolio construction, research, relative value analysis, and AI-enabled decision support
- Prototype, test, iterate, and deploy analytical and AI-driven applications using firm infrastructure and modern technology stacks
- Operate with an experimental mindset-rapidly iterating, learning from feedback, and refining approaches to maximize real-world impact
Key Qualifications / Experience: - 3+ years of experience in a highly analytical role, ideally within financial services
- Ability to work effectively with both technical and investment stakeholders
- Strong open-ended problem-solving skills and experience building impactful analytical applications
- Proficiency in Python and SQL at a minimum, with experience developing scalable, production-grade solutions
- Experience with cloud and UNIX/Linux environments, Git, and modern development workflows (e.g., Azure DevOps) is a plus
- Familiarity with AI/ML/LLM techniques, agentic systems and AI-enhanced coding is a plus
- Prior experience with one or more asset classes (e.g., fixed income, equities, derivatives, or private markets) is a plus
For New York, NY Only the salary range for this position is USD$137,500.00 - USD$170,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
Our benefitsTo help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work modelBlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
Guidance on AI use for candidatesAt BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we've provided
guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
