Full Stack Engineer, Portfolio Management Group, Associate
Share
Job Location:
Monthly Salary:
Posted on:
19 hours ago
Vacancies:
1 Vacancy
Job Summary
About this role
About the Role
The Full Stack Engineer builds end-to-end AI-enabled research applications that deliver data models and insights seamlessly to investors and researchers. Embedded within a PMG research pod this role works closely with the AI Lead Solutions Lead and Research Engineers to translate investor workflows into intuitive interactive application experiences.
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. They integrate data analytics and AI capabilities into user interfaces that enhance investment decision-making.
This role uses modern application frameworks across the stack (such as Python APIs AI/LLM services cloud data platforms and contemporary web UI frameworks) without requiring deep specialization in any single technology.
Key Responsibilities
Research Application Development (End-to-End)
Build full-stack research applications that combine data analytics and AI features.
Develop back-end services/APIs to deliver research datasets model outputs and interactive capabilities.
Implement front-end interfaces that present insights clearly and support investor workflows.
Collaboration with AI Leads & Research Teams
Work closely with the AI Lead to understand investor research use cases workflows and decision processes.
Embed business context into applicationdesignso tools feel intuitive relevant and tailored to investor needs.
Collaborate with the Solutions Lead to refine workflows user journeys and feature priorities.
AI Integration
Integrate AI capabilities (e.g. natural language components retrieval flows model-driven insights) into research applications.
Implement back-end logic to support AI features in partnership with the AI Lead.
Data Access & Research Workflow Integration
Build application services that interact with cloud data platforms and internal research pipelines.
Ensure applications connect cleanly to research datasets prepared by Research Engineers.
Optimizedata access patterns for performance and reliability.
Quality Reliability & Deployment
Collaborate with horizontal Ops Intelligence teams to ensureappropriate instrumentation monitoring and operational reliability.
Apply good engineering practices including testing version control structured deployment and maintainability.
Support continuous improvement and iteration based on user feedback.
Pod & Engineering Hub Collaboration
Work as a core member of thepodsengineering group (AI Lead Solutions Lead Research Engineers).
Coordinate with horizontal engineering groups (Workflow Automation Ops Intelligence) toleverageplatform capabilities and shared tooling.
Contribute to reusable components patterns and best practices across pods.
Qualifications
Required:
3 years of experience building production-grade full-stack applications using a modern Python backend framework (e.g.FastAPI Flasketc) and a modern frontend framework (e.g. React/) with TypeScript.
Proven experience designing consuming and securing REST /GraphQLAPIs that integrate with cloud data platforms (e.g. SnowflakeBigQueryetc).
Experience collaborating closely with data engineers on complex high-volume data pipelines ensuring backend services APIs and data contracts integrate cleanly with their workflows.
Hands-on experience integrating analytics or AI/LLM features into applications (prompting retrieval/RAG orchestration monitoring).
Experience deploying andoperatingfull-stack applications on major cloud platforms (GCPAWSorAzure) including CI/CD observability and performance tuning.
Strong ability to translatebusiness ordomain workflows into technical designs data contracts and scalable application architectures.
Excellent communication skills with non-technical stakeholders; able to gather requirements demo iteratively and document systems clearly.
Preferred:
Priorworkon research analytics or portfolio / risk / market datadriven applications in theinvestment management or broader financial services domain.
Exposure tobuildingmultimodal AI applications.
Key Attributes
Strong user-centric mindsetlearnshow investors work anddesignsapplications that support their thinking.
Balanced engineering skills across both front-end and back-end development.
Collaborative and comfortable working in cross-functional pod structures.
Curious adaptable and eager to experiment withnew technologiesand capabilities.
Strong ownership and commitment to building reliable maintainable systems.
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.
Required Experience:
IC
Key Skills
- Portfolio Management
- Wealth Management
- Financial Services
- Hybris
- Microsoft Word
- Banking
- Cash Management
- Data Management
- Microsoft Powerpoint
- Securities Law
- Microsoft Excel
- Internet Of Things
About Company
BlackRock is one of the world’s preeminent asset management firms and a premier provider of investment management. Find out more information here.
