AI Quantitative Researcher

Vatic Labs

Formulate and test hypotheses on vast, multi-modal market datasets.

Build and evaluate ML/AI models (e.g., classification, clustering, regression) to identify alpha.

Design robust research pipelines and backtests; iterate from idea signal portfolio contribution.

Collaborate with engineers to productionize strategies and improve research tooling.Required Qualifications

PhD or Master's (earned or in progress) in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics , or related fields.

Relevant industry experience, or experience as a Postdoc/Faculty in a scientific lab.

Proven ability to analyze large datasets with rigorous ML/AI approaches.

Demonstrated ability to generate impactful research (academic or professional).

Deep knowledge of time-series analysis .

Advanced proficiency in a numerical language; Python (NumPy/SciPy stack) preferred.

Exposure to C++ or a related compiled language.

Interest in financial markets.Nice to Have

Experience with portfolio construction, risk modeling, and transaction cost analysis.

Familiarity with distributed computing frameworks and research workflow tooling.

Publications or open-source contributions in ML/stats or related areas.What We Value

First-principles thinking, high ownership, and a bias for rigorous experimentation.

Clear communication and collaboration across research and engineering.

Curiosity, humility, and continuous learning.