Models Infrastructure Platform Enablement (Python + React), Multi-Asset Strategies & Solutions (MASS), Associate
BlackRock Gurugram, Haryana, India
Financial Services · 10,001+ employees
About the role
You will lead strategic initiatives to evolve the investment operating platform and develop robust, production-ready technology solutions. This includes automating processes, managing data workflows, and ensuring the stability and scalability of the models ecosystem.
What they look for
Requirements
Candidates must have 3-7 years of experience with Python and React, along with a degree in Computer Science or equivalent. Strong communication skills and experience in asset management or financial services are required.
Benefits
Full description
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.
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