Quantitative Researcher (Model Portfolio Solutions), Multi-Asset Solutions (MASS), Associate
BlackRock (company site, opens in a new tab)3+ yrsGurugramOn-siteDirect career pageEst. 20–35 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain quantitative investment tools including dashboards (Power BI, Streamlit) and Python code for multi-asset model portfolios.
- Collaborate with global teams to support portfolio management, performance reporting, and incorporating quantitative signals into production platforms.
- Support investment research including developing and testing quantitative signals and leveraging AI tools to enhance workflows.
Minimum Requirements
- Bachelor’s degree or higher (postgraduate degree or CFA progress preferred).
- At least 3 years of relevant experience in asset management or financial services, preferably in quantitative investment research or portfolio management.
- Strong programming skills in Python are essential; experience with Power BI, SQL, Bloomberg, and AI tools is beneficial.
- Experience working across global teams and effective communication skills.
Ideal Candidate Profile
- Experienced in quantitative finance with strong knowledge of equities, fixed income, and alternatives for multi-asset strategies.
- Capable of maintaining robust investment logic and data quality with operational discipline across global distributed teams.
- Familiar with leveraging AI or AI-assisted development tools to improve research efficiency and investment workflows.