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The Implementation Specialist will support clients in onboarding and deploying the Aladdin and eFront systems, developing advisory partnerships, and delivering high-value outcomes for investment organizations.

As a Product Manager, you will drive service transformations for Aladdin, define product vision and roadmap, and collaborate across teams to enhance product delivery.

Join BlackRock's Advanced Data Analytics team to deliver research and data solutions for structured products, leveraging data technologies and statistical methodologies.

The role supports BlackRock's private market capital formation by developing client materials, managing pipeline activities, identifying capital raising opportunities, and contributing to strategy narratives and fund launches.

The Associate will develop scalable platform services and APIs for data processing, contributing to backend systems and improving operational efficiency in data workflows.

The VP will manage the ETF Primary Market platform, focusing on trading, risk management, and relationship building with various stakeholders while ensuring the platform's integrity.

Lead design and delivery of enterprise AI platform capabilities (LLMs, RAG, fine-tuning) to enable developer productivity. Architect scalable systems, define evaluation frameworks, ensure security and compliance, coordinate cross-team delivery, make buy/build decisions, mitigate risks, and grow an engineering team while communicating impact to senior stakeholders.

The Director will lead FMA's strategy, manage client relationships, drive business development, and oversee multi-disciplinary project teams to deliver high-quality advisory outcomes in the financial markets sector.

Lead design and delivery of scalable data pipelines and platforms for structured and unstructured data. Own end-to-end ingestion, transformation, orchestration, storage, and serving for analytics and AI use cases. Architect data models and reusable components, enforce engineering best practices, implement data quality/observability, optimize cloud workloads, mentor junior engineers, and partner with cross-functional teams to deliver enterprise-scale data products.

Lead and scale multi-team AI engineering and data science organization to design, deliver, and govern GenAI, LLM, Vision AI, and multi-agent knowledge products; own end-to-end solution design, Agile delivery, quality standards, production validation, stakeholder alignment, hiring, and organizational capability building.