Quant jobs / BlackRock

2027 Quantitative Masters Internship – Quantitative Investing

An eight-week internship in BlackRock Systematic, one of the largest quant investment managers. Interns join projects in areas such as factors, active equity or fixed income.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Work on a research or client-related project within a systematic team
Translate statistical models into Python code
Analyse large datasets for investment signals
Join daily market updates to see how portfolios trade
Present findings to the team

What they ask for

Required

Enrolled in a quantitative master's programme graduating Aug 2027 to Jul 2028
At least one year of relevant work experience
Python
Comfort with large datasets
Problem-solving and communication

Preferred

Enthusiasm for AI and machine learning

Education: Master's student in analytics, CS, engineering, maths or another quantitative field
Experience: Students with at least one year of relevant work experience
Languages and tools: Python
Markets: multi-asset, equities, fixed-income

How to prepare

Replicate a classic factor strategy (value or momentum) in Python
Practise cleaning and joining large financial datasets
Learn the basics of portfolio construction and risk models
Read a primer on systematic equity and fixed income investing
Prepare a short project walk-through for interviews

What to study

The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on BlackRock’s site before applying: requirements, location and pay can change after we check them.

View the posting on BlackRock’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with BlackRock and doesn’t handle applications.