{"id":2117724,"url":"https://alion.io/job/mdotm-quant-scientist-latam","title":"Quant Scientist LATAM","company":{"id":3882794,"name":"Mdotm","domain":"mdotm.ai","url":"https://alion.io/company/mdotm-2","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":{"grade":"C","score":60,"open_postings":18,"ghost_share":0.667,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Claude Code","optional":true},{"name":"Copilot","optional":true},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-09-09T00:00:00Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-13T20:07:13Z","board_verified":true,"closed_at":null,"days_open":34,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":34},"description":"About MDOTM\nMDOTM 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.\nSince then, we have been growing continuously, establishing a strong international presence with offices in London, Milan and New York.\nIf you are looking for a fast-paced environment and are willing to take ownership, this is the right opportunity for you!\nRole Overview\nWe are looking for a Quantitative Data Scientistto 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.\nThe ideal candidate combines a strong financial intuitionwith 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 integratoracross research, and investment functions, bringing order to innovation.\nKey Responsibilities\nCritically evaluate ML model outputsto ensure alignment with financial theoryand real-world market dynamics, while accounting for client-specific objectives, constraints, and investment frameworks.\nTranslate research signals into actionable investment strategiesand portfolio construction frameworks.\nCollaborate with ML researchers to refine models, incorporating financial domain expertise and contributing to model design where needed.\nDesign, prototype, and scale quantitative modelsusing Python and Java, maintaining a high standard for code quality and modularity.\nContribute to the financial validation layerof the R&D cycle by developing and maintaining test frameworks that identify inconsistencies and support continuous model improvement.\nTranslate complex portfolio objectives into rigorous, testable modeling specifications that bridge the gap between investment intent and algorithmic execution.\nCollaborate across technical workstreamsto ensure research outputs are aligned with investment objectives and successfully integrated into production workflows.\nRequirements\nDegree in Finance, Quantitative Finance, Financial Engineering, Mathematics, or a related field.\nUnderstanding of portfolio construction, asset allocation, and risk management\nSolid Python/Java programming skills, with experience in financial modeling, data analysis, and working with ML-driven workflows.\nExperience interpreting, validating, or stress-testing quantitative or machine learning models(e.g., backtesting, scenario analysis, or model diagnostics).\nAbility to bridge finance and technology: translate investment concepts into technical requirements and challenge model outputs using real-world financial intuition.\nStrong analytical mindsetwith the ability to communicate complex quantitative insights clearly to both technical and business stakeholders.\nFluent in English(written and spoken).\nBonus Points\nSolid understanding of Git-based workflows(branching, code reviews, version control) in collaborative research or production environments.\nExperience leveraging LLMs and AI coding tools(e.g., Claude Code, GitHub Copilot) to accelerate prototyping, refactor code, and optimize algorithmic performance.\nProven ability to thrive in high-pressure, collaborative environments, delivering precise results under tight market-driven or project deadlines \nWhy Join Us?\nWork at the leading edge of technology, leveraging our decade of experience in proprietary AI to build the next generation of industry-defining tools.\nCompetitive salary & trulyflexible work environment.\nBenefit 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.\nCollaborate daily with anultra-international team(18+ nationalities) 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