Top Fintech Data & Analytics Jobs in Charlotte, NC

The role involves implementing mortgage prepayment models into a financial analytics library using C++, requiring collaboration across teams and adherence to software engineering practices.

Lead the development of fraud monitoring strategies, ensuring analytical quality, managing a team, and collaborating with executives on risk mitigation.

The Finance Systems Architect is responsible for designing and optimizing finance technology solutions, ensuring alignment with business needs, and leading initiatives for system integrations and process automation.

The Manager of Ontology and Data Modeling leads the development of enterprise ontologies, collaborates across teams, and manages semantic integration within Capital One's products, while advocating for knowledge organization strategies and maintaining industry standards.

The Risk Analyst will develop strategies to mitigate fraud risk, analyze data, and collaborate with various teams to support low friction customer experiences. Responsibilities include reviewing accounts, creating analytical models, and reporting on progress against business goals.

The Analyst II role focuses on leveraging data analytics to optimize credit strategies, conduct portfolio analysis, and develop credit risk capabilities while collaborating across various teams.

The role involves optimizing decision-making through analyses, creating dashboards, and providing insights to drive revenue growth and enhance merchant relationships.

Lead Toast's credit risk strategy, overseeing portfolio management, product growth, and analytics while ensuring compliance with regulations and mentoring analysts.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

The Director of Analytics leads Upstart's Credit Analytics team, driving credit forecasting, valuation, and risk capital. Responsibilities include setting vision, developing leaders, and enhancing analytical frameworks in collaboration with tech and finance teams.

Support sales intelligence by collecting, preparing, and analyzing sales and marketing data; maintain dashboards and data quality; run pipeline and win/loss analyses; translate findings into clear visualizations and reports for stakeholders.

The Senior Data Engineer II will design and maintain scalable data pipelines, collaborate with teams on machine learning workflows, and ensure data accessibility across systems.