Quantitative Researcher
Skills
About This Role
Overview
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
br> 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.
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