Salary
$138k – $150k per year
Location
Hybrid (New York, United States)
Seniority
Middle · 3+ years exp
Visa
H-1B filings in 12 months: 22 · for this role: 1 · green card filings: 4
Employment
Full-Time

Removed from the employer's board on Oct 25, 2026. First seen by Alion on Aug 27, 2026. BlackRock scores A on the Alion truth index.

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BlackRock is an American investment management company and the largest asset manager in the world, managing money for pension funds, insurers, sovereign funds, wealth managers and individual investors through mutual funds, iShares exchange-traded funds and institutional mandates. Founded in 1988 and listed on the New York Stock Exchange, it also sells Aladdin, its investment and risk management technology platform, to other financial institutions. The company is headquartered in New York, New York, United States.
Backed by Maveron

About this role

About the Portfolio Analytics Group (PAG):

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.

Role 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$150,000.00 . 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 benefits

To 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 model

BlackRock’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 candidates

At 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.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment - the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.

BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression),sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View theEEOC’s Know Your Rights poster and its supplementand thepay transparency statement.

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustmentsare needed throughout the employment process, please email [email protected]. All requests are treated in line with our privacy policy .

BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.
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