Quantitative Data Scientist

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    "description": "<p><span style=\"font-weight: bold\">About MDOTM</span></p>\n<p><br>MDOTM is the <span style=\"font-weight: bold\">Global leader in AI-driven investment solutions</span>. ​​Founded in 2015, we earned significant recognition in 2017 as the only European fintech startup selected by <span style=\"font-weight: bold\">Google</span> for its acceleration program in Silicon Valley.<br>Since then, we have been growing continuously, establishing a strong international presence with offices in London, Milan and New York</p>\n<p><br></p>\n<p>If you are looking for a fast-paced environment and you are willing to take ownership, this is the right opportunity for you! Join us!<br></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Role Overview</span></p>\n<p><br>We are looking for a <span style=\"font-weight: bold\">Quantitative Data Scientist</span> to join our Research and Development Team in Milan. This is a critical, high-impact hire designed to be the bridge between complex quantitative modeling and real-world financial application.<br></p>\n<p><br></p>\n<p>The ideal candidate combines a <span style=\"font-weight: bold\">strong financial intuition</span> with a \"hands-on\" attitude. You will be responsible for translating business needs into technical solutions, ensuring our investment strategies are robust, scalable, and aligned with client expectations. You will serve as a <span style=\"font-weight: bold\">key integrator</span> across research, and investment functions, bringing order to innovation.    <br></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Key Responsibilities</span></p>\n<p><br></p>\n<ul>\n<li>Critically evaluate <span style=\"font-weight: bold\">ML model outputs</span> to ensure alignment with <span style=\"font-weight: bold\">financial theory</span> and real-world market dynamics, while accounting for client-specific objectives, constraints, and investment frameworks.</li>\n<li>Translate research signals into <span style=\"font-weight: bold\">actionable investment strategies</span> and portfolio construction frameworks.</li>\n<li>Collaborate with ML researchers to refine models, incorporating financial domain expertise and contributing to model design where needed.</li>\n<li>Design, prototype, and scale <span style=\"font-weight: bold\">quantitative models</span> using Python and Java, maintaining a high standard for code quality and modularity.</li>\n<li>Contribute to the <span style=\"font-weight: bold\">financial validation layer</span> of the R&amp;D cycle by developing and maintaining test frameworks that identify inconsistencies and support continuous model improvement.</li>\n<li>Translate complex portfolio objectives into rigorous, testable modeling specifications that bridge the gap between investment intent and algorithmic execution.</li>\n<li>Collaborate across <span style=\"font-weight: bold\">technical workstreams</span> to ensure research outputs are aligned with investment objectives and successfully integrated into production workflows.<br></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Required Skills &amp; Qualifications </span></p>\n<p><br></p>\n<ul>\n<li>Degree in <span style=\"font-weight: bold\">Finance, Quantitative Finance, Financial Engineering, Mathematics, or a related field.</span></li>\n<li>Understanding of portfolio construction, asset allocation, and risk management</li>\n<li>Solid <span style=\"font-weight: bold\">Python/Java programming skills</span>, with experience in financial modeling, data analysis, and working with ML-driven workflows.</li>\n<li>Experience interpreting, validating, or stress-testing quantitative or <span style=\"font-weight: bold\">machine learning models</span> (e.g., backtesting, scenario analysis, or model diagnostics).</li>\n<li>Ability to bridge finance and technology: translate investment concepts into technical requirements and challenge model outputs using real-world financial intuition.</li>\n<li><span style=\"font-weight: bold\">Strong analytical mindset</span> with the ability to communicate complex quantitative insights clearly to both technical and business stakeholders.</li>\n<li>Fluent in <span style=\"font-weight: bold\">English</span> (written and spoken).</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Nice to Have (Bonus Skills)</span></p>\n<p><br></p>\n<ul>\n<li>Solid understanding of <span style=\"font-weight: bold\">Git-based workflows</span> (branching, code reviews, version control) in collaborative research or production environments.</li>\n<li>Experience leveraging <span style=\"font-weight: bold\">LLMs and AI coding tools</span> (e.g., Claude Code, GitHub Copilot) to accelerate prototyping, refactor code, and optimize algorithmic performance.</li>\n<li>Proven ability to thrive in <span style=\"font-weight: bold\">high-pressure, collaborative environments</span>, delivering precise results under tight market-driven or project deadlines <br></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Why Join Us?</span></p>\n<p><br></p>\n<ul>\n<li>Take on a <span style=\"font-weight: bold\">high-impact role</span> where you translate cutting-edge ML research into actionable, real-world investment strategies and portfolio frameworks.</li>\n<li>Competitive salary &amp; <span style=\"font-weight: bold\">truly flexible work environment</span></li>\n<li>Benefit from an <span style=\"font-weight: bold\">unlimited learning and development budget</span> to stay at the bleeding edge of AI research, alongside a fast-track path into technical leadership or principal research roles</li>\n<li>Collaborate daily with an <span style=\"font-weight: bold\">ultra-international team</span> (18+ nationalities) spread across our offices in Milan, London and New York</li>\n<li><span style=\"font-weight: bold\">Annual company retreat</span> at a stunning location</li>\n<li><span style=\"font-weight: bold\">Fast-track career progression</span>, with opportunities to grow into leadership roles</li>\n</ul>",
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