Top Senior Level Fintech Data & Analytics Jobs in San Francisco, CA

Lead development and implementation of consumer lending credit strategies, analyze KPIs, conduct A/B tests and collaborate with cross-functional teams to enhance credit offers.

Lead the development of fraud strategies, analyze complex datasets to identify fraud patterns, and create dashboards/kPIs for performance oversight.

The Data Scientist will perform research on DeFi protocols, manage client engagements, and create dashboards while analyzing complex datasets.

The Staff Fraud Strategist will lead fraud prevention initiatives at Gemini, analyzing data for trends, designing controls, and collaborating across teams to enhance fraud detection strategies while ensuring user trust.

The Manager focuses on OneStream, leading implementations and technical support for clients, gathering requirements, and ensuring effective solutions. Collaboration with teams and client training are key responsibilities.

The Data Scientist at Parafin will lead data-driven projects, providing insights for growth, product development, and financial modeling while collaborating across diverse teams.

The Senior Risk Data Analyst will build risk analytics functions, develop performance metrics, conduct fraud analysis, and create machine learning models while collaborating with cross-functional teams in a fintech startup.

As a Senior Data Engineer, you will build and maintain data pipelines, support analytics needs, and ensure data integrity for operations and reporting at Finix.

Lead cross-team projects to build scalable data models and pipelines, using AI for data pipeline development and ensuring data quality.

Lead a product analytics team to provide data-driven recommendations for consumer banking products, collaborating with various functions to enhance growth strategies.