BlackRock
NYC
Quantitative Master’s Intern - Investments - Quantitative Investing
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Apply to Quantitative Master’s Intern - Investments - Quantitative Investing at BlackRockJob details
- Location
- NYC
- Work type
- Onsite
- Posted
- 3 days ago
- Apply on
- blackrock.wd1.myworkdayjobs.com
About this role
## About this role
Quantitative Master’s Internship Program
This program mirrors the MBA Internship but is tailored for master’s students in quantitative disciplines – giving you the same exposure and impact, with a focus on advanced analytics and problem-solving.
Eligibility: Students enrolled in analytics, computational finance, financial engineering, mathematics and/or a quantitative-disciplined master’s program and graduating between September 2027 and July 2028 with relevant pre-master’s work experience
We are looking for the next generation of quantitative investors. We offer a range of opportunities, spanning quantitative research, portfolio management, product strategy and investment technology.
## What capabilities are we looking for?
- Passion for quantitative investing
- Strong technical problem-solving skills
- Ability to write efficient, effective computer code (Python)
- Experience with translating statistical models and algorithms into code
- Comfort in working with large datasets
- Inquisitive nature, desire to learn and critical thinking
- Effective communication and collaboration skills
- Curiosity, critical thinking, learning agility, and sound judgement in technology-enabled decision making, coupled with an enthusiasm for AI, emerging technologies, and continuous innovation
## Your learning and development will include:
- Contributing to the function’s knowledge base by working on investment or client-related projects
- Joining daily market-related updates, learning about how our portfolios trade and react to market events
- Collaborating across multiple business functions to learn the research and product life cycles and our strategies for continued growth
- Developing an understanding of capital markets, return drivers and economic theory
- Learning about our clients and their investment strategies; assisting in guiding investors toward achieving their unique investment goals by applying our technology and tools
- Being part of an innovative, dynamic, diverse team culture and learning from some of the best minds in the business
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