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أبو ظبي, أبو ظبي, الإمارات العربية المتحدة
Onsite
As a Quantitative Researcher at Vatic, you will research and develop innovative quantitative strategies. You’ll explore large-scale market data, applying novel machine learning and artificial intelligence methods to discover and capitalize on trading opportunities. The problems are challenging; we hire top talent, empower them with tools and mentorship, and foster a highly collaborative, open environment. Our researchers are recognized leaders whose work is widely cited in top-tier, peer-reviewed journals.
What You’ll Do
· 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.
At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect:
