Quantitative Researcher (Model Portfolio Solutions), Multi-Asset Solutions (MASS), Associate

Overview

Support the global Model Portfolio Solutions team of investment researchers, portfolio managers and client strategists in developing and managing multi-asset model portfolios within BlackRock's Multi-Asset Strategies & Solutions group.

What you'll do

• Develop and maintain Power BI or equivalent dashboards (such as Streamlit) supporting investment research, portfolio management and reporting.
• Leverage Aladdin technology and analytical tools to enhance investment processes and help drive scale.
• Work closely with portfolio managers and strategists on performance and exposure reporting for clients and internal stakeholders.
• Develop and maintain Python code to support existing and new quantitative research and investment processes.
• Work with Aladdin and technology teams to incorporate quantitative signals into MPS research and production platforms.
• Maintain robust investment logic, data quality and controls, and support dissemination of investment benchmarks and portfolio allocations to downstream stakeholders.
• Partner with researchers and portfolio managers to develop and test quantitative investment signals.
• Support the development of new investment products and solutions and remain current on developments in global financial markets and economics.
• Leverage AI tools to enhance investment research, analysis and efficiency across research workflows.

What you'll need

• Bachelor's degree or higher-level qualification.
• At least 3 years of relevant experience in asset management or financial services, preferably in quantitative investment research or portfolio management.
• Good knowledge of quantitative finance, investment processes and capital markets across Equities, Fixed Income and Alternatives.
• Strong analytical and problem-solving skills, with the ability to translate ideas into implementable investment insights.
• Strong programming skills, with Python essential.
• Excellent communication and organizational skills, with the ability to work effectively across global teams and stakeholders.
• High level of self-motivation, ownership and initiative, with a strong work ethic and collaborative approach.

Nice to have

• Postgraduate degree, CFA or progress toward a relevant professional qualification.
• Experience with AI tools and technologies, Power BI, SQL, and/or Bloomberg.
• Familiarity with leveraging generative AI or AI-assisted development tools to improve research, coding and investment workflows.

Details

• Location: Gurugram, India.
• Hybrid work model: at least 4 days in the office per week, with the flexibility to work from home 1 day a week.
• Works in a global team spread across time-zones.