Full Stack Engineer, Portfolio Management Group, Associate

Business

PMGTech is the horizontal technology platform within BlackRock’s Portfolio Management Group (PMG), integrating investment research with advanced engineering, AI, and alternative data to make technology a direct driver of alpha. It operates as one global team across three verticals – Platform Strategy, Research Solutions (DS&S), and Platform Change (IPT) – partnering closely with the BlackRock Aladdin ecosystem and PMG investment leadership. This integrated model delivers a coherent tech strategy, strengthens the research community, and scales capabilities across regions, asset classes (Equities, Fixed Income, Multi-asset), and investment styles (discretionary and systematic). PMGTech leads PMG’s AI strategy by building an AI-ready research environment, unified data layer, agentic orchestration networks, and an investment-focused application layer to deploy AI-powered research solutions into production. As part of PMGTech, you will work directly with investment researchers and portfolio managers to build and scale capabilities in data engineering, GenAI, and platform tooling that streamlines research workflows and enables differentiated alpha-generative investment insights across PMG’s investment pillars. Job Purpose / Background The Full Stack Engineer builds end-to-end, AI-enabled research applications that deliver data, research platforms and insights seamlessly to investors and researchers. Embedded within DS&S research pods - asset-class focused sub-teams - this role requires collaboration with AI Product leads, data leads and the investor teams to transform research workflows into intuitive, interactive and resilient production-grade applications. Full Stack Engineers combine front-end and back-end development skills with an understanding of research needs to build applications that fit naturally into how investors conduct research. Full Stack Engineers will integrate data, analytics, and AI capabilities into user interfaces that enhance investment decision-making at scale. This role requires expertise in modern application development frameworks across the stack (Python APIs, AI/LLM services, Cloud data platforms, data pipelines, production deployments, CI/CD and modern web application and UI frameworks).