Full Stack Engineer, Portfolio Management Group, Associate

About this role

Business Overview

PMGTechis the horizontal technology platform within BlackRocks Portfolio Management Group (PMG) integrating investment research with advanced engineering AI and alternative data to make technology a direct driver of alpha. Itoperatesas 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).

PMGTechleads PMGs 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 ofPMGTech you will work directly with investment researchers and portfolio managers to build and scale capabilities in data engineering GenAI and platform toolingthatstreamlinesresearch workflows and enablesdifferentiated alpha-generative investment insights across PMGs investment pillars.

Job Purpose / Background

The Full Stack Engineer builds end-to-end AI-enabled research applications that deliver dataresearchplatformsand insights seamlessly to investors and researchers. Embedded withinDS&Sresearch pods- asset-class focused sub-teams -thisrole requires collaboration with AI Product leads data leads and the investor teamstotransformresearchworkflows into intuitiveinteractiveand resilientproduction-gradeapplications.

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 Stack Engineers willintegrate data analytics and AI capabilities into user interfaces that enhance investment decision-makingat scale.

This rolerequiresexpertiseinmodern applicationdevelopmentframeworks across the stack (Python APIs AI/LLM servicesCloud dataplatformsdata pipelinesproduction deploymentsCI/CDandmodernwebapplication andUI frameworks).

Key Responsibilities

• Design build and deploy investor research apps endtoend owningfrontendbackend APIs data/AI features and intuitive UIs that fit investor workflows.

• Partner withtheResearchPod Leads and investorsto translatebusinessrequirementsinto product designanditerativelybuild high quality webapplications.

• Write reusablemaintainableand extensible code andcreatedocumentation 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 horizontalengineeringteams toleverageshared toolingandcontributeto buildingtools and development processesacross pods.

Skills &Experience

• Experience building production-grade full-stack applications with a modern Python backend (FastAPI Flask etc.) and TypeScript/JavaScriptfrontend (React/).

• Strong problem-solving analytical and software architecture skills.

• Experience deploying andoperatingfull-stack systems onCloud Platforms (GCP/Azure)including CI/CD observability andanalytics.

• Strong capability to translate business workflows into scalable technical designs and intuitive applications.

• Excellent communication skills with the ability to gather requirementsfrom investors and product ownerscollaborate and deliveriterativelyand 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 visualizationusing modern cloud platformssuch asBigQueryorSnowflake.

• Experience building applications with leading AI model providerssuch asOpen AI Vertex and/or Anthropic.

• Hands-on experience with analytics and AI/LLM features (prompt engineering RAG/retrievalagenticorchestrationLLMmonitoring multi-modalityinputs)

• 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

BlackRocks 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 childrens 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. Its why were 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: 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.