About this role
Business Overview
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).
Key Responsibilities
Design, build and deploy investor research apps end‑to‑end owning frontend, backend APIs, data/AI features, and intuitive UIs that fit investor workflows.
Partner with the Research Pod Leads and investors to translate business requirements into product design and iteratively build high quality web applications.
Write reusable, maintainable, and extensible code, and create documentation for team members.
Build modules, libraries and frameworks that can help scale building web applications based on similar patterns,
Ensure that the web applications have the required instrumentation and observability that helps investors build confidence in operational health of the app.
Act as a core pod member and coordinate with horizontal engineering teams to leverage shared tooling and contribute to building tools and development processes across pods.
Skills & Experience
Experience building production-grade full-stack applications with a modern Python backend (FastAPI, Flask, etc.) and TypeScript/JavaScript frontend (React/Next.js).
Strong problem-solving, analytical, and software architecture skills.
Experience deploying and operating full-stack systems on Cloud Platforms (GCP/Azure) including CI/CD, observability, and analytics.
Strong capability to translate business workflows into scalable technical designs and intuitive applications.
Excellent communication skills, with the ability to gather requirements from investors and product owners, collaborate and deliver iteratively, and produce clear documentation for non-technical partners.
Qualifications
B.S. / M.S. college degree in Computer Science, Engineering, or related subject area
3+ years hands-on software development exposure in full-stack applications.
Nice to Have
Proven ability to work closely with data engineering teams on high-volume data pipelines and data visualization using modern cloud platforms such as BigQuery or Snowflake.
Experience building applications with leading AI model providers such as Open AI, Vertex, and/or Anthropic.
Hands-on experience with analytics and AI/LLM features (prompt engineering, RAG/retrieval, agentic orchestration, LLM monitoring, multi-modality inputs)
Experience building research, analytics, or portfolio/risk/market-data applications within investment management or broader financial services.
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.
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.
For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
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