AI Quantitative Researcher (UAE)

<p>As a <strong data-stringify-type="bold">Quantitative Researcher</strong> at Vatic, you will research and develop innovative quantitative strategies. You’ll explore large-scale market data, applying novel <strong data-stringify-type="bold">machine learning</strong> and <strong data-stringify-type="bold">artificial intelligence</strong> 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.</p> <p>What You’ll Do</p> <p>·      Formulate and test hypotheses on vast, multi-modal market datasets.<br>·      Build and evaluate <strong data-stringify-type="bold">ML/AI</strong> models (e.g., classification, clustering, regression) to identify alpha.<br>·      Design robust research pipelines and backtests; iterate from idea → signal → portfolio contribution.<br>·      Collaborate with engineers to productionize strategies and improve research tooling.Required Qualifications<br>·      PhD or Master’s (earned or in progress) in <strong data-stringify-type="bold">Computer Science, Statistics, Mathematics, Electrical Engineering, Physics</strong>, or related fields.<br>·      Relevant industry experience, or experience as a <strong data-stringify-type="bold">Postdoc/Faculty</strong> in a scientific lab.<br>·      Proven ability to analyze large datasets with rigorous <strong data-stringify-type="bold">ML/AI</strong> approaches.<br>·      Demonstrated ability to generate <strong data-stringify-type="bold">impactful research</strong> (academic or professional).<br>·      Deep knowledge of <strong data-stringify-type="bold">time-series analysis</strong>.<br>·      Advanced proficiency in a numerical language; <strong data-stringify-type="bold">Python (NumPy/SciPy stack)</strong> preferred.<br>·      Exposure to <strong data-stringify-type="bold">C++</strong> or a related compiled language.<br>·      Interest in financial markets.Nice to Have<br>·      Experience with portfolio construction, risk modeling, and transaction cost analysis.<br>·      Familiarity with distributed computing frameworks and research workflow tooling.<br>·      Publications or open-source contributions in ML/stats or related areas.What We Value<br>·      First-principles thinking, high ownership, and a bias for rigorous experimentation.<br>·      Clear communication and collaboration across research and engineering.<br>·      Curiosity, humility, and continuous learning.</p> <p>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:</p> <ul> <li>Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one.</li> <li>Comprehensive health benefits – Full health insurance coverage for employees <em>and</em> dependents.</li> <li>Daily meals provided – Enjoy free lunch at the office.</li> </ul>