Jobs · Finance · New York

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

BlackRock · New York, NY · 2 wk ago
Finance$138k/yrFull-time

About the role

The Portfolio Analytics Group (PAG) is a highly collaborative and multidisciplinary team of in-house, forward-deployed engineers and data scientists at BlackRock. We develop and deploy advanced analytical solutions that integrate Aladdin's technology platform, financial models, and data to solve complex, real-world investment challenges.

Key Responsibilities

  • Communicate insights, methodologies, and outputs clearly through presentations, discussions, and written materials
  • Identify and address opportunities and gaps in the Aladdin ecosystem
  • Build and maintain strong partnerships with investment teams
  • Translate complex analytics into intuitive, fit-for-purpose tools that integrate directly into investment workflows and enhance decision-making
  • 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

Qualifications / Experience

  • 3+ years of experience in a highly analytical role, ideally within financial services
  • 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
  • Familiarity with AI/ML/LLM techniques, agentic systems and AI-enhanced coding
  • Prior experience with one or more asset classes (e.g., fixed income, equities, derivatives, or private markets)

Benefits

BlackRock offers a competitive salary range of USD$137,500.00 - USD$170,000.00 annually, an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. Our hybrid work model allows for flexibility, and we provide guidance on AI use during the hiring process to support candidates.

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