Level

BlackRock

Models Infrastructure Platform Enablement (Python + React), Multi-Asset Strategies & Solutions (MASS), Analyst

BlackRock is hiring a Models Infrastructure Platform Enablement (Python + React), Multi-Asset Strategies & Solutions (MASS), Analyst in Gurugram, India. Level rates it ; you can apply on BlackRock.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include Python, React and Aladdin.
  • Level classifies it as a mid-level role.
  • Level lists 284 other open roles at BlackRock.

AI in this role

Develop technology solutions and automate processes for multi-asset model portfolio platforms using Python and React.

pythonreactaladdin
portfolio-managementautomationasset-allocationinfrastructure

About this role

Introduction to Multi-Asset Strategies & Solutions (MASS)


The Multi-Asset Strategies & Solutions (MASS) team is at the core of BlackRock’s portfolio construction, asset allocation, and active management ecosystem. MASS leverages BlackRock’s full spectrum of index, factor, and alpha-seeking capabilities to deliver precise investment outcomes and differentiated alpha insights. The team manages over $1 trillion in assets across commingled funds, separate accounts, model portfolios, and outsourcing solutions for wealth and institutional clients globally. MASS is committed to fostering a diverse, inclusive, and collaborative environment where all employees are valued and empowered to succeed.


Position Overview


BlackRock’s Models Infrastructure team is at the heart of evolving the model’s platform and elevating the client experience through strong governance and cross-functional leadership on behalf of the investment teams in MASS. As the Models business continues to grow, we’re expanding to meet increasing demand and accelerate key initiatives.

As an Associate, you will join a business team and contribute hands-on to technology enabled solutions that support the Models platform. You will work closely with partners across Investment, Infrastructure, and Technology teams to understand business use cases, requirements, and operating needs, translating them into robust, production ready solutions. Your work will focus on automating processes, improving data access and distribution, supporting releases and ongoing maintenance, and ensuring the stability and scalability of the models ecosystem within established governance and control frameworks.

This role provides exposure to client and product information and the Aladdin environment, with opportunities to influence platform scalability, automation, and engineering best practices as the business grows.


Key Responsibilities

Model Portfolio Platform

  • Lead strategic initiatives involving technology delivery that strengthen and evolve the investment operating platform within MASS, driving innovation and scalability.

  • Administer monitoring protocols to independently assess infrastructure resilience across platform domains.

  • Represent MASS in cross-functional teams supporting platform enablement activities.

  • Gather and analyze business requirements to improve processes and systems with a focus on usability for Strategists and Portfolio Managers.

  • Triage and resolve production issues, manage partner concerns, and maintain clear runbooks for owned activities.

Business Analysis and Technical Design

  • Develop and maintain strategic tools for Models Enablement.

  • Develop and maintain scripts and tools supporting end-to-end models data workflows.

  • Own and maintain model data gathering and distribution to stakeholders.

  • Support and execute end-to-end UAT testing to ensure successful production operations across release cycles.

Qualifications

  • Computer Science degree/B.E/B.Tech, or equivalent experience.

  • Experience in asset management or financial services, with exposure to multiple 

  • asset classes.

  • Strong communication, organizational, and stakeholder management skills.

  • Strong interest in learning and leveraging Aladdin; prior experience is a plus.


Skills & Technical Requirements

  • 3-7 years of relevant experience (Python + React)

  • Strong hands-on development experience in Python, Streamlit, and Flask is required

  • Strong hands-on experience with React and a solid understanding of API design; familiarity with Protocol Buffers is strongly preferred.

  • Working knowledge of AI tools, AI-assisted development practices, and practical implementation of AI-enabled solutions is strongly preferred.

  • Familiarity with machine learning concepts, Python-based ML workflows, and AI-driven implementations is preferred.

  • Demonstrated curiosity and a strong inclination toward learning and adopting new technologies.

  • Project and program management skills—including planning, coordination across teams, and delivery execution—are strongly preferred

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.


Guidance on AI use for candidates


At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.


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.


To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.

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.

How we rate this

Models Infrastructure Platform Enablement (Python + React), Multi-Asset Strategies & Solutions (MASS), Analyst at BlackRock rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Portfolio ManagementAutomationAsset AllocationInfrastructurePythonReactAladdin

Questions you could be asked

  1. Tell me about a project where portfolio management was part of your work. What did you do?
  2. Tell me about a project where automation was part of your work. What did you do?
  3. Tell me about a project where asset allocation was part of your work. What did you do?
  4. Tell me about a project where infrastructure was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Portfolio Management, Automation, Asset Allocation, Infrastructure, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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