AI Quantitative Researcher (UAE)

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