About the role
Who we are: We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures. Our culture: We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: Remote - UK/Germany/Spain/Ireland/Poland/Netherlands/Lithuania/Bulgaria From Home / Beach / Mountain / Cafe / Anywhere! We are a remote-first company with a globally distributed team. You can find your productive zone and work from there.
About
the role: We’re looking for a data-driven professional to help us measure, understand, and improve the performance of our risk strategies. In this role, you’ll analyze complex datasets, design metrics, build dashboards, and collaborate closely with stakeholders across the business to drive decision-making and optimize outcomes. What you’ll be doing: 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 valuable insights contributing to fraud reduction and higher approval rates for our clients. Serve as a client-facing partner by translating complex data insights into clear, actionable recommendations Build and experiment with ML models to identify fraudulent patterns and enhance fraud detection capabilities. Work with engineers on data instrumentation. Create and automate self-serve dashboards leveraging BI tools. Collaborate with cross-functional teams (Business, Product, and Engineering) to understand and translate business
