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

The Data Governance Engineer develops and implements data governance frameworks, ensuring data integrity and quality, and collaborating with multiple teams to support compliance and enhance data reliability through automation and tooling.

As a Lead Data Analyst, you'll optimize transaction costs and success rates in payments, analyze failure patterns, and collaborate with Data Science and Engineering to enhance payment strategies and model performance.

Lead the data engineering team, develop and maintain data models and pipelines for risk domains, and manage data quality and governance.

The Senior Manager will establish a customer insights function, conduct user research, analyze data, and provide strategic recommendations to improve customer experience and inform business decisions.

The Senior Data Analyst will analyze complex data sets, provide end-to-end data solutions, and collaborate with stakeholders to drive business decisions.

Lead the design of scalable data architectures, optimize data processing workloads, and mentor talent while promoting modern technologies and engineering excellence.

Leads a Data Science team at Gusto, focusing on product strategy using data and AI. Responsibilities include team management, developing measurement frameworks, supporting experiments, and influencing leadership decisions with insights.

The Principal Credit Risk Analyst will lead credit risk strategy, monitor portfolio performance, collaborate on product growth, and engage in data-driven decision-making.

The Quantitative Researcher will conduct original research, utilize data science skills, collaborate across teams, and generate insights for clients.

As a Data Analytics Engineer, you'll build and manage data models in Snowflake, structure datasets for optimal AI performance, and own data transformation while ensuring quality and accessibility for all teams.