Full Stack Engineer, Portfolio Management Group, Associate

Posted Yesterday
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Gurugram, Haryana
In-Office
Mid level
Fintech • Information Technology • Financial Services
Bringing together tech and market expertise to help people build better financial futures.
The Role

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 application design so 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. 

  • Optimize data access patterns for performance and reliability. 

Quality, Reliability & Deployment 

  • Collaborate with horizontal Ops Intelligence teams to ensure appropriate 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 the pod’s engineering group (AI Lead, Solutions Lead, Research Engineers). 

  • Coordinate with horizontal engineering groups (Workflow Automation, Ops Intelligence) to leverage platform 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, Flask, etc) and a modern frontend framework (e.g., React/Next.js) with TypeScript. 

  • Proven experience designing, consuming, and securing REST / GraphQL APIs that integrate with cloud data platforms (e.g., Snowflake, BigQuery, etc). 

  • 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 and operating full-stack applications on major cloud platforms (GCP, AWS or Azure), including CI/CD, observability, and performance tuning. 

  • Strong ability to translate business or domain 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: 

  • Prior work on research, analytics, or portfolio / risk / market data–driven applications in the investment management or broader financial services domain. 

  • Exposure to building multimodal AI applications. 

 

Key Attributes 

  • Strong user-centric mindset—learns how investors work and designs applications 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 with new technologies and 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

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.

Top Skills

AWS
Azure
BigQuery
Ci/Cd
Fastapi
Flask
GCP
GraphQL
Next.Js
Python
React
Rest
Snowflake
Typescript
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The Company
HQ: New York, NY
25,000 Employees
Year Founded: 1988

What We Do

As the world’s largest asset manager, BlackRock partners with investors around the globe to help them (and those on whose behalf they invest) plan for life’s most important goals – like retirement, home ownership and their children’s education. Our clients range from governments, foundations and other large institutions to those investing on behalf of individuals, including firefighters, nurses, teachers and factory workers.

BlackRock was founded with the idea of creating a better asset management firm — one that was purpose-driven, focused on clients and risk management, and propelled by data and technology. Our breakthrough Aladdin® platform is BlackRock’s technological backbone, helping investors see and manage their whole portfolios in one place – from constructing investments to monitoring risk and executing trades. Used by hundreds of external institutions around the world, Aladdin combines powerful analytics and a common language to help investment teams make faster, more informed decisions across public and private markets. It’s a key part of our business and one of the reasons we’re trusted to manage more assets than any other investment manager today.

At BlackRock, we challenge conventions and raise the bar for what’s possible. We harness technology to unlock new solutions, simplify complexity, and deliver investment strategies that meet people where they are. Whether it’s retirement planning, wealth building or navigating market shifts, we’re here to help clients invest more easily, more affordably and with more choice as we chart a path toward financial well-being together.

Learn more: Careers.BlackRock.com

Why Work With Us

Without our people, technology is irrelevant. When we combine the power of people with the power of technology, we amplify our ability to create better outcomes for our employees, clients, shareholders and society alike.

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BlackRock Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

BlackRock has 25,000 employees across more than 100 offices in over 40 countries around the world.

Typical time on-site: 4 days a week
HQNew York, NY
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Santiago
Brazil
Atlanta
Bogotá
Budapest
Hong Kong
Edinburgh, GB
Frankfurt
Princeton
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Sweden
Sydney
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Wilmington
Zurich
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