Quantitative Data Scientist at MdotM

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8mdrei

pThis Full time on site position offers great opportunities for career growth. /ppAbout MDOTM MDOTM is the Global leader in AI-driven investment solutions. Founded in 2015, we earned significant recognition in 2017 as the only European fintech startup selected by Google for its acceleration program in Silicon Valley. Since then, we have been growing continuously, establishing a strong international presence with offices in London, Milan and New York. /ppIf you are looking for a fast-paced environment and you are willing to take ownership, this is the right opportunity for you! /ph3Role Overview /h3pWe are looking for a Quantitative Data Scientist 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. The ideal candidate combines a strong financial intuition 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 key integrator across research, and investment functions, bringing order to innovation. /ph3Key Responsibilities /h3ulliCritically evaluate ML model outputs to ensure alignment with financial theory and real-world market dynamics, while accounting for client-specific objectives, constraints, and investment frameworks. /liliTranslate research signals into actionable investment strategies and portfolio construction frameworks. /liliCollaborate with ML researchers to refine models,



incorporating financial domain expertise and contributing to model design where needed. /liliDesign, prototype, and scale quantitative models using Python and Java, maintaining a high standard for code quality and modularity. /liliContribute to the financial validation layer of the RD cycle by developing and maintaining test frameworks that identify inconsistencies and support continuous model improvement. /liliTranslate complex portfolio objectives into rigorous, testable modeling specifications that bridge the gap between investment intent and algorithmic execution. /liliCollaborate across technical workstreams to ensure research outputs are aligned with investment objectives and successfully integrated into production workflows. /li /ulh3Required Skills Qualifications /h3ulliDegree in Finance, Quantitative Finance, Financial Engineering, Mathematics, or a related field. /liliUnderstanding of portfolio construction, asset allocation, and risk management /liliSolid Python/Java programming skills, with experience in financial modeling, data analysis, and working with ML-driven workflows. /liliExperience interpreting, validating, or stress-testing quantitative or machine learning models (e.g., backtesting, scenario analysis, or model diagnostics).



/liliAbility to bridge finance and technology: translate investment concepts into technical requirements and challenge model outputs using real-world financial intuition. /liliStrong analytical mindset with the ability to communicate complex quantitative insights clearly to both technical and business stakeholders. /liliFluent in English (written and spoken). /li /ulh3Nice to Have (Premio Skills) /h3ulliSolid understanding of Git-based workflows (branching, code reviews, version control) in collaborative research or production environments. /liliExperience leveraging LLMs and AI coding tools (e.g., Claude Code, GitHub Copilot) to accelerate prototyping, refactor code, and optimize algorithmic performance. /liliProven ability to thrive in high-pressure, collaborative environments, delivering precise results under tight market-driven or project deadlines. /li /ulh3Why Join Us? /h3ulliTake on a high-impact role where you translate cutting-edge ML research into actionable, real-world investment strategies and portfolio frameworks. /liliCompetitive salary truly flexible work environment. /liliBenefit from an unlimited learning and development budget to stay at the bleeding edge of AI research, alongside a fast-track path into technical leadership or principal research roles. /liliCollaborate daily with an ultra-international team (18+ nationalities) spread across our offices in Milan, London and New York. /liliAnnual company retreat at a stunning location. /liliFast-track career progression, with opportunities to grow into leadership roles. /li /ul #J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8mdrei