Top Financial Services Data & Analytics Jobs in San Francisco, CA

The Sr Credit Strategy Manager develops credit risk strategies for Auto Refinance, tracks KPIs, manages data quality, and collaborates with cross-functional teams.

The AI Engineer will collaborate with investment teams to integrate GenAI and machine learning into investment strategies, develop tools for quantitative analysis, and stay updated on AI/ML innovations.

The Trade Operations & Data Analyst ensures data quality in security reference data, manages operational risk, and improves workflows in investment operations.

As a Data Analyst, manage data flow for trading algorithms, ensure system operation, improve data quality, and automate data pipelines.

The Data Analyst will own the analytics stack, build dashboards, define KPIs, analyze customer behavior, and support strategic decisions to drive business growth.

The Staff Analytics Engineer will develop data pipelines and models, support corporate teams with analytics solutions, enhance data accessibility, and ensure data quality while engaging with business stakeholders.

The Consumer Product Strategy Analyst III performs complex analyses to minimize loss exposure, support fraud risk strategies, and improve organizational performance through data-driven insights.

The Head of Fraud will develop data-driven strategies for risk mitigation, lead a new team, and partner with various departments.

As a Data Scientist Intern at Ripple, you will preprocess on-chain data, perform exploratory analysis, apply statistical modeling, and create data visualizations to support business decisions in blockchain technology.

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