Senior Data Scientist

Description du poste

We’re looking for a data-driven professional to help us measure, understand, and improve the performance of our risk strategies — and to stay ahead of evolving fraud threats by designing and deploying data-driven solutions with real-world impact You’ll work directly with clients to understand their unique fraud challenges, rapidly prototype proof-of-concept models, and build scalable, production-ready solutions using machine learning and graph analytics You’ll also analyze complex datasets, design metrics, build dashboards, and collaborate closely with stakeholders across the business to drive decision-making and optimize outcomes This is a hands-on, high-impact role ideal for someone who thrives at the intersection of data science, client-facing problem solving, and real-time risk Champion a data-first approach across internal teams and client engagements, promoting clarity and impact Build and deploy machine learning models to prevent fraud across diverse fintech use cases, from proof-of-concept through to production Develop and track metrics to measure and monitor the performance of our risk products and the effectiveness of risk management strategies Conduct in-depth analyses to uncover insights contributing to fraud reduction and higher approval rates for our clients Work directly with clients to understand their fraud challenges and translate complex data insights into clear, actionable recommendations Use data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experience Create and automate self-serve dashboards leveraging BI tools Collaborate with engineering to scale models into production, optimize performance, and support data instrumentation Partner with cross-functional teams (Business, Product, and Engineering) to translate business requirements into data-driven solutions Benefits Unlimited access to an expert financial advisory MacBook Pro delivered to your doo

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