Analytics Specialist, Associate, Portfolio Analytics Group (PAG),

BlackRock•New York, NY

9d•$137,500 - $170,000•Hybrid

About The Position

Join the Portfolio Analytics Group (PAG), a highly collaborative and multidisciplinary team of in-house, forward-deployed engineers and data scientists at the forefront of applied analytics at BlackRock. As part of the Aladdin Financial Engineering (AFE) division, PAG develops and deploys advanced analytical solutions that integrate Aladdin’s technology platform, financial models, and data to solve complex, real-world investment challenges. These solutions are used by portfolio managers and risk professionals across BlackRock to support investment decisions, contributing to outcomes such as improved portfolio positioning and winning client mandates. The team works across the full breadth of asset classes—including equities, fixed income, derivatives, and private markets—reflecting the diversity and scale of investment strategies we support. 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.

Requirements

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

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