Quant jobs / Vatic Labs

AI Researcher

A research role at a New York trading firm developing AI-driven quantitative strategies from market and alternative data. The work uses language models, deep networks and other advanced methods.

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 and alternative data for signals
Develop and test novel AI methods for trading
Apply language models and deep networks to prediction problems
Share results with researchers and traders

What they ask for

Required

PhD (earned or expected) in a quantitative field
Statistical and ML analysis of large datasets
Knowledge of large language models and deep networks
Python, C++, PyTorch or TensorFlow
Impactful research

Education: PhD earned or expected in a quantitative field such as CS, engineering, maths, statistics, physics or quantitative finance
Experience: PhD-level researchers; finance experience not required
Languages and tools: Python
C++
PyTorch
TensorFlow

How to prepare

Fine-tune or probe a language model on a financial text task and evaluate it out of sample
Revise time-series modelling, hidden Markov models and Bayesian methods
Reproduce a recent transformer paper in PyTorch
Learn how overfitting arises in financial prediction

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.