Analytics Specialist, Vice President - Aladdin Financial Engineering (PAG)

About the role

Join the Portfolio Analytics Group (PAG), a highly collaborative, multidisciplinary team of forward-deployed engineers and data scientists at the forefront of applied analytics at BlackRock.

As part of the Aladdin Financial Engineering (AFE) organization, PAG designs, develops, and deploys advanced analytical solutions that combine Aladdin’s technology platform, financial models, and data to solve complex real-world investment and business challenges. Our solutions are used across BlackRock’s investment, product, and distribution organizations, helping drive better portfolio insights, support strategic decision-making, improve client outcomes, and contribute to winning new business.

The team works across the full spectrum of asset classes—including equities, fixed income, derivatives, and private markets—providing exposure to a diverse range of investment strategies, products, and client needs. PAG sits at the intersection of technology, analytics, and business, partnering directly with stakeholders to translate complex challenges into scalable, impactful solutions.

Key Responsibilities

• Lead the end-to-end design and delivery of complex, cross-functional analytics initiatives.
• Develop analytical products and frameworks that empower product teams, sales organizations, and clients.
• Partner closely with technical partners, product leaders, and client teams to define and execute against strategic roadmaps.
• Translate business challenges into scalable, data-driven solutions leveraging Aladdin capabilities.
• Serve as a trusted advisor to senior stakeholders, influencing decisions and helping shape strategic direction.
• Provide technical excellence through mentorship, collaboration, and continuous improvement.
• Communicate complex analytical concepts and business insights effectively to technical and non-technical audiences.

Qualifications & Experience

• 7+ years of experience across financial markets, analytics, and software engineering.
• Proven track record of delivering complex, cross-functional analytics and technology solutions.
• Strong Python programming skills and experience working with large-scale analytical systems and production-quality codebases.
• Deep understanding of investment products, portfolio analytics, and investment workflows.
• Demonstrated ability to influence and collaborate with senior stakeholders.
• Excellent communication and presentation skills, with the ability to simplify complex concepts.
• Self-starter with a high degree of accountability, resilience, and follow-through.
• Strong collaborator with experience working across global teams.
• Passion for innovation and an interest in applying emerging technologies, including AI and advanced analytics, to solve real business problems.