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 Qualificationsbr> 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 Havebr> 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 Valuebr> First-principles thinking, high ownership, and a bias for rigorous experimentation.
Clear communication and collaboration across research and engineering.
Curiosity, humility, and continuous learning.