AI Quantitative Researcher

Job description / Role

Job Type
Full Time

Job Location
Abu Dhabi, UAE

Nationality
Any Nationality

Salary
Not Specified

Gender
Not Specified

Arabic Fluency
Not Specified

Job Function
Investment Management

Company Industry
Finance, Investment & Asset Management

AI Quantitative Researcher (UAE)

As a quantitative researcher at Vatic, you will research and develop innovative quantitative strategies. Youll 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 youll 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 masters (earned or in progress) in computer science, statistics, mathematics, electrical engineering, physics, or related fields.

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  Get Hired
  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, were serious about our work but we also believe in balance, growth, and having fun along the way. Heres 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.