Quant jobs / Vatic Labs

AI Research Internship Summer 2027

A summer internship for graduate students researching autonomous trading agents using machine learning on market data.

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.

Explore market data and test AI approaches for trading
Apply ML and statistical methods to classification, clustering and regression tasks
Test hypotheses drawn from the firm's trading experience
Work with researchers, traders and technologists

What they ask for

Required

PhD or master's (earned or expected) in a quantitative field
C++ or Python on Linux
Large-dataset analysis
Deep knowledge of ML and the maths behind it
Time-series analysis

Preferred

Python numpy/scipy stack
Top-tier ML publications

Education: PhD or master's student in CS, statistics, maths, engineering, physics or similar
Experience: Current graduate students
Languages and tools: Python
C++

How to prepare

Build a time-series prediction model and test it carefully for leakage
Revise the maths behind gradient-based learning and regularisation
Publish or present a paper or project
Practise Linux development in Python or C++

What to study

The NLP and ML Quant 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 Vatic Labs’s site before applying: requirements, location and pay can change after we check them.

View the posting on Vatic Labs’s site ↗

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