Top Fintech Data & Analytics Jobs in Philadelphia, PA

The Innovation and Analytics Audit Manager will lead data analytics in audit processes, identifying risk opportunities, and enhancing audit efficiency in a complex banking environment.

As a Compliance Technology and Data Manager, you'll design compliance systems, enhance data integrity, develop dashboards, and partner with teams for AML and compliance reporting.

The Manager, Data Management & Governance will establish data management frameworks and ensure regulatory compliance across the organization. Responsibilities include developing governance strategies, policies, staff training, and implementing technology solutions for data governance.

The Model Risk Governance Analyst implements model risk governance, manages model inventory, prepares risk reporting, and collaborates across functions.

Lead a team of data engineers and scientists to develop data models and analytics frameworks, ensuring data integration and compliance for financial operations while mentoring team members.

As a Payments Risk Analyst, you'll identify and mitigate payment fraud, develop risk metrics, and collaborate with cross-functional teams to enhance fraud detection strategies.

Lead the Analytics Engineering team at Coinbase, focused on building data models, ensuring data quality, and delivering actionable insights through collaboration with cross-functional departments, with an emphasis on AI and LLM applications.

As a Senior Analyst, you will analyze credit performance, develop forecasting models, and collaborate with cross-functional teams to inform lending strategies.

The Business Analyst will analyze and manage revenue data, optimize processes, and support strategic decision-making in the Commercial Operations team.

As a Senior BI Analyst, you'll analyze data, enhance reporting systems, and partner with teams to streamline processes using insights drawn from data.

Manage and validate financial models, ensuring accuracy and compliance. Collaborate across teams to improve model performance and frameworks.

Manage analytical service operations, lead a team of data scientists, design software for data analysis, develop predictive models, and provide mentorship.