blackrock

2027 Quantitative Masters Internship Program - Technology - Analytics & Modeling - New York

blackrock

New York · Posted Sep 15

$13k–$16k/mo Finance Hybrid
Apply now

Location: New York, NY

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

Aladdin Financial Engineering We research, develop and implement innovative quantitative models used to assess financial risk across fixed income, equities, derivatives and alternative products through our proprietary technology, Aladdin. We also provide risk management and tailored advice to drive better business and investment outcomes.

Teams you may be considered for:

Quantitative Research and Modeling: We are responsible for all analytics and analytics technology developed and deployed into the Aladdin ecosystem. We support and evolve over 200 analytics models spanning single security, securitized products, portfolio construction, portfolio risk, performance attribution, trading and liquidity, energy and climate, and ML/Gen AI model suites.

Applied Analytics: Portfolio Analytics Group: Develop fit-for-purpose solutions for Investment and Client Businesses utilizing Aladdin models and latest quantitative techniques to bring value to the best client of Aladdin – BlackRock.

Our function is known for:

Evolving analytics and models developed and deployed into the Aladdin ecosystem

Developing new best-in-class analytics models

Working closely with both internal and external Aladdin clients to ensure proper deployment, usage, adoption and evolution of Aladdin’s entire analytics estate

Applying Aladdin financial models to specific BlackRock use cases across Investments and Client Businesses to unlock value through analytical insights, accelerating critical initiatives

Providing critical thought leadership

What capabilities are we looking for? We are seeking passionate and dynamic Analysts to join our collaborative Financial Engineering team. This role is crafted for individuals who excel in applying analytical and quantitative techniques to solve real-world financial challenges. You will leverage your programming skills, financial acumen and critical thinking to uncover market opportunities and support our institutional clients in executing complex transactions.

Key Responsibilities:

Technical Development: Use your intermediate coding skills (Python preferred) to design, develop and deliver cutting- edge financial engineering solutions.

Data-Driven Insights: Deliver actionable analytics by developing robust quantitative solutions tailored for Investment and Client Businesses.

Collaborative Innovation: Work closely with cross-functional investment and business teams to accelerate strategic initiatives and drive measurable business value.

You will develop expertise in multiple core areas that will serve as the foundation for your career, including:

Financial markets and investment products

Quantitative research and modeling

Technology

The Aladdin platform

For San Francisco, CA and New York, NY only: The salary ranges for these positions are below. Please note, salary rates for a role are determined by department or team within a Business Area, as well as location of the role.

Salary Range (Semi-Monthly Rate)

Technology: $6,500 – $8,000

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) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. 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 due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

Guidance on AI use for candidates

At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

To learn more about BlackRock, please visit Careers.BlackRock.com. We

What they are looking for

Python

Details

Work type
Hybrid
Compensation
Paid
Remote eligible
Yes

Get new Finance internships by email

Free daily digest, matched to what you pick. Unsubscribe anytime.