2027 Quantitative Masters Internship Program - Investments - Quantitative Investing - New York

Quantitative Master’s Internship Program

This program mirrors the MBA Internship but is tailored for master’s students in quantitative disciplines—providing the same exposure and impact, with a focus on advanced analytics and problem-solving.

Eligibility

• Currently enrolled in an analytics, computational finance, financial engineering, mathematics, and/or a quantitative-disciplined master’s program
• Graduating between September 2027 and July 2028
• Relevant pre-master’s work experience

About BlackRock Systematic

BlackRock Systematic is one of the largest quantitative investment managers in the world, with over $200bn in assets under management and 35+ years of systematic investing experience. The team manages hedge funds, long-only active products, and outcome-focused portfolios across a wide range of asset classes, geographies, and time horizons.

The team spans 200+ professionals from a variety of professional, academic, and cultural backgrounds, speaks 25+ different languages, and collaborates across San Francisco, New York, and London. Their curiosity, diversity, and ingenuity drive innovation and insight with the goal of delivering investment returns for clients.

Factors, Sustainability and Solutions (FS2)

FS2 combines research and investment expertise across the BlackRock Systematic Investment platform to drive product innovation, product research, and client engagement. Products and client solutions range from systematic return-seeking to factor-based, sustainability, and outcome-oriented solutions across all asset classes.

Systematic Active Equity

A quantitative investment team applying powerful machine learning techniques to active equity strategies. The team uses data such as today’s trading activity, internet searches, next year’s economic forecasts, and long-term demographic trends to construct high-breadth portfolios across global public equity markets. The team partners with top academics to keep research techniques at the forefront of machine learning and artificial intelligence and continuously improves processes to generate more alpha.

Systematic Fixed Income

A global, multi-asset investment team combining financial theory, econometrics, market sentiment, and statistical techniques to generate alpha across sovereign, corporate, and securitized debt instruments. The team builds and deploys quantitative models to identify market trends and capitalize on relative value opportunities across geographies, sectors, and time horizons, continuously adapting the investment platform and model suite to an evolving landscape.

This Function Is Known For

• Collaborative, innovative, and inquisitive culture focused on solving complex investing problems
• Broad opportunity set: global investment across equities, fixed income, commodities, currencies, and private investments
• Varied perspectives as a competitive advantage, with diverse academic/professional backgrounds and 25+ languages represented
• Multidisciplinary ecosystem: research, portfolio management, technology, and strategy collaborate closely
• Client focus, treating clients as partners
• Sustainability rooted in fiduciary duty, using research, data, and analytics to pursue best risk-adjusted returns within client mandates

What Capabilities Are We Looking For?

• Passion for quantitative investing
• Strong technical problem-solving skills
• Ability to write efficient, effective computer code (Python)
• Experience translating statistical models and algorithms into code
• Comfort working with large datasets
• Inquisitive mindset, desire to learn, and critical thinking
• Effective communication and collaboration skills
• Curiosity, critical thinking, learning agility, and sound judgment in technology-enabled decision-making, paired with enthusiasm for AI, emerging technologies, and continuous innovation

Your Learning and Development

• Contribute to the function’s knowledge base by working on investment or client-related projects
• Join daily market-related updates to learn how portfolios trade and respond to market events
• Collaborate across multiple business functions to learn research and product life cycles and support continued growth
• Develop an understanding of capital markets, return drivers, and economic theory
• Learn about clients and their investment strategies, and assist in guiding investors toward their investment goals using technology and tools
• Participate in an innovative, dynamic, diverse team culture and learn from experienced professionals

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).

Our Hybrid Work Model

BlackRock’s hybrid work model supports a culture of collaboration and apprenticeship while providing flexibility. 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 based on role requirements. BlackRock focuses on creating impactful moments when teams work together in person, aligned with its commitment to performance and innovation. As a new joiner, you can expect this hybrid model to accelerate learning and onboarding.

Guidance on AI Use for Candidates

At BlackRock, AI is part of how teams work to enhance decision-making, improve operations, and help deliver better outcomes for clients. Candidates are encouraged to use AI thoughtfully to learn, prepare, and work more effectively. During the interview process, BlackRock wants to understand candidates through their own experiences, thinking, and judgment, and has provided guidance on when and how to use AI during hiring: guidance.

About BlackRock

BlackRock’s mission is to help more and more people experience financial well-being. This mission is supported by the company’s commitment to creating an environment where employees feel welcomed, valued, and supported with networks, benefits, and development opportunities.