Overview As a Technical Product Manager for Applied Machine Learning, you drive the ML product roadmap and bridge data science with banking operations. You translate pain points into actionable specs, own feature delivery, and push predictive models from concept to deployment. You optimize model health and KPIs while ensuring security standards in a regulated environment. You collaborate across data science, ML engineering, and business stakeholders to unlock operational efficiency and fraud detection improvements.
Compensaciones / Beneficioscompetitive personal development budgetwork-from-home budgetfitness & wellness discountslanguage appspublic transportation discountsvisa support and relocation package ResponsabilidadesOwn the ML product roadmap from discovery to deploymentBridge data science and operations by translating requirements into user stories and specsDeliver predictive models to automate back-office tasks and improve fraud detectionDefine and monitor model performance metrics and production KPIsGroom backlogs with engineering leads and participate in sprint rituals with a focus on security Requisitos principales4+ years of Product Manager experience in a tech environmentHands-on experience with data products, analytics, or ML workflows (strong interest acceptable)Strong SQL skills and data visualization ability to evaluate model impactSolid understanding of core ML concepts and lifecycleAbility to translate technical model outputs to operational teamsStrong technical communication skillsExecution biasAnalytical problem solvingStakeholder collaborationSQLData visualization platformsMachine Learning basics (classification, regression, decision trees)