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
streamlin
es
research workflows and enabl
es
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 pod
s
- asset-class focused sub-teams -
this
role requires collaboration with AI Product leads, data leads and the in
vestor teams
to
transform
research
workflows into intuitive,
interactive
and resilient
production-grade
application
s.
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
requir
es
expertise
in
modern application
development
frameworks across the stack (Python APIs, AI/LLM services,
C
loud data
p
latforms,
data pipelines,
production deployments,
CI/CD
and
modern
web
application and
UI frameworks)
.
Key Responsibilities
Design, b
uild 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
E
xperience 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 design
s 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.
