BlackRock
2027 Quantitative Masters Internship Program - Investments - Quantitative Investing - San Francisco
San Francisco, CA · Internship · Posted Sep 15, 2026
- Experience
- Relevant pre-master’s work experience; no years specified.
- Education
- Master’s program in analytics, computational finance, financial engineering, mathematics, or another quantitative discipline.
About the job
A quantitative investing internship where master’s students contribute to investment research, portfolio, product, or technology projects across BlackRock Systematic teams.
What you'll do
- Contribute to investment or client-related projects and the function’s knowledge base.
- Collaborate across business functions to learn research and product life cycles and investment strategies.
- Learn about capital markets, portfolio responses to market events, and client investment goals.
What they ask for
- Enrollment in a master’s program in analytics, computational finance, financial engineering, mathematics, or another quantitative discipline, with graduation between September 2027 and July 2028.
- Relevant pre-master’s work experience.
- Ability to write efficient, effective computer code (Python).
- Experience translating statistical models and algorithms into code; comfort working with large datasets.
Pay
$6,500 – $8,500 USD semi-monthly rate; salary range for Investment roles (base salary status not specified).
Tools
Python
AI focus
Work may involve quantitative investing that uses machine learning and artificial intelligence with large datasets; the posting also seeks enthusiasm for AI and emerging technologies.
Model-written summary · the original posting is authoritative