at BlackRock
Asset ManagementPosted 10 days ago
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**Quantitative Data Engineer, Multi-Asset Strategies and Solutions (MASS), Associate** - Design, maintain automation data solutions enhancing investment workflows across public and private markets, reducing manual effort, improving data quality, and enabling AI-driven research and monitoring. - Key responsibilities include data automation, application and dashboard development, research data coverage management, AI-Enabled research and innovation, and tool ownership. - Proficient in Python (4+ years), with AI/ML familiarity and data visualization experience using tools like Tableau, Streamlit, and Airtable. - Collaborate with investment, research, and data science stakeholders for independent problem-solving and excellent communication. - Work in a hybrid-model with a focus on BlackRock's mission to foster financial well-being. - Apply now for Job ID R264648.
- Compensation
- Not specified
- City
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- Country
- India
Currency: Not specified
Full Job Description
Job description
About this role
About the Team
BlackRock Manager Research (BMR) sits within the Multi-Asset Strategies and Solutions (MASS) group at BlackRock. BMR generates alpha through disciplined manager research, selection and monitoring across public and private asset classes.The BMR Technology & Data Solutions function develops scalable technology, data, and automation capabilities that enhance the efficiency, quality, and consistency of the manager research process.
Role Summary
The Associate within BMR Technology & Data Solutions will design, build, and maintain data, automation, and analytics solutions that support BMR investment workflows across public and private markets. The role partners closely with investment, research, and data science stakeholders to reduce manual effort, improve data quality, and enable AI-driven research and monitoring.
Sitting at the intersection of research, data engineering, automation, and applied AI, this role owns end-to-end solutions that directly support investment decision-making and operational rigor.
Key Responsibilities
Data Automation & Engineering
Design, build, and maintain automation solutions to improve data quality, scalability, and operational efficiency across workflows.
Application & Dashboard Development
Develop and support internal data applications and dashboards used by research and investment teams, including performance and analyticsmonitoring applications.
Build tools using Python, Streamlit, Airtable, Tableau, and internal data platforms, ensuring usability, reliability, and maintainability.
Research Data Coverage & Enablement
Maintain and enhance research data coverage through relationships with internal and external data sources / vendors.
Partner with investment and research stakeholders to ensure data outputs are accurate, complete, and aligned with research needs.
AI-Enabled Research & Innovation
Lead data automation for AI-enabled research workflows
Develop and prototype AI and LLM-based solutions to streamline document processing, data extraction, and research workflows using APIs, Python, and schema-bound extraction approaches.
Ownership & Stakeholder Partnership
Act as technical owner for deployed tools and automations, ensuring ongoing maintenance and enhancements, data accuracy and reliability, and continuous improvement based on stakeholder feedback.
Partner closely with team leadership, stakeholders, and data science teams to translate investment and research needs into scalable technical solutions.
Skills & Qualifications
Strong programming skills in Python (4+ years of relevant experience)
Interest in financial markets and investment analytics
Familiarity with AI and ML concepts and applied LLM use cases in production or proof-of-concept environments.
Experience with data visualization and analytics tools such as Tableau, PowerBI and Streamlit.
Strong problem-solving skills and the ability to operate independently with minimal oversight.
Excellent communication skills and comfort partnering with both technical and investment stakeholders.
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 (opens in new window) | Twitter: @blackrock (opens in new window) | LinkedIn: www.linkedin.com/company/blackrock (opens in new window)
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.
R264648
