AI Quantitative Researcher

Vatic Labs; Abu Dhabi; On-site; AED 120,000 - 180,000; Full time

Job summary

A leading quantitative research firm in Abu Dhabi is seeking a Quantitative Researcher to develop and evaluate innovative trading strategies. Candidates should have a PhD or Master's in a relevant field and proven skills in data analysis and machine learning. The role involves testing hypotheses on market datasets, building models to identify trading opportunities, and collaborating with engineers to enhance research tools. The company offers a supportive environment with comprehensive health benefits and opportunities for direct impact.

Benefits

Comprehensive health benefits

Free lunch at the office

Qualifications

• PhD or Master's (earned or in progress) in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields.
• Proven ability to analyze large datasets with rigorous ML/AI approaches.
• Deep knowledge of time-series analysis.

Responsibilities

• Formulate and test hypotheses on vast, multi-modal market datasets.
• Build and evaluate ML/AI models to identify alpha.
• Collaborate with engineers to productionize strategies.

Skills

Data analysis

Machine learning

Statistical modeling

Time-series analysis

Python programming

C++ exposure

Education

PhD or Master's in relevant fields

Job description

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 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:

• 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.