Quantitative Data Scientist At Mdotm

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

pThis Tempo pieno on site position offers great opportunities for career growth.
/ppAbout MDOTM MDOTM is the Global leader in AI-driven investment solutions.
Founded in ****, we earned significant recognition in **** 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 (Bonus 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-*****-Ljbffr

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