{"id":2462834,"url":"https://alion.io/job/first-machine-learning-and-quant-engineer-london","title":"Machine Learning and Quant Engineer - London","company":{"id":4417774,"name":"First.cx","domain":"first.cx","url":"https://alion.io/company/first-9","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United 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using structured time series data.\nThis role exists to turn raw financial data into actionable investor signals.\nYou will work closely with engineers to productionize quant logic.\nWhat You’ll Be Responsible For\nDevelop models using structured financial time series\nBuild insight generation and scenario analysis pipelines\nCollaborate with backend engineers to deploy models in production\nEvaluate signals based on real investor outcomes\nImprove attribution and explainability\nWhat “Good” Looks Like in This Role\nAfter 3 months:\nShipping signals used internally.\nAfter 6 months:\nSignals used by customers.\nAfter 12 months:\nYou shape how quant insights are built at Reflexivity.\nWho You Are (Must-Haves)\n5 plus years experience in quant, ML, or financial modeling\nStrong Python skills\nStartup experience on core systems\nInvestment domain knowledge\nAI-assisted coding experience\nNice-to-Haves (Not Deal Breakers)\nPrior buy-side or sell-side experience\nExperience with alternative 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