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As a Data Scientist at Riskified, you will develop algorithms and analytical solutions, applying statistical methods and machine learning to analyze large datasets. Your role includes data exploration, feature engineering, model development and evaluation, and collaborating with teams to drive data-driven solutions.
The Senior Analyst in FP&A will conduct financial analyses, prepare KPIs reporting for management, research market trends, support forecasting processes, and act as a financial business partner. This role focuses on providing strategic insights and identifying risks and opportunities in financial data.
As a Fraud Researcher, you'll analyze payment fraud patterns and trends to develop innovative fraud-prevention solutions. You'll collaborate with Product Managers and cross-functional teams to transform research findings into actionable strategies and work closely with analysts, data scientists, and engineers to advance Riskified's AI technology.
As a Data Engineer at Riskified, you will be responsible for building data products, designing and modeling DWH, creating ETL processes, defining key metrics, and providing technical support for data activities. You will collaborate with various teams to enable data-driven decision-making and strategic planning across the organization.
Lead a team of Data Integration Engineers, providing technical guidance on data integration practices and ensuring smooth integration with Riskified's platform. Oversee data flow validation and build tools to automate data validation, while aligning team activities with business goals. Act as a key advisor for strategic clients and manage multiple projects.
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