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AI Quantitative Researcher; UAE

Job in Abu Dhabi, UAE/Dubai
Listing for: Vatic Labs
Full Time position
Listed on 2026-02-07
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: AI Quantitative Researcher (UAE)

Quantitative Researcher

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 product ionize 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 (Num Py/Sci Py 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:

  • Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one.
  • Comprehensive health benefits – Full health insurance coverage for employees and dependents.
  • Daily meals provided – Enjoy free lunch at the office.
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