Top Fintech Data & Analytics Jobs in Charlotte, NC

The Agentic AI Lead will design AI-first processes, lead innovation projects, drive cultural change, and partner with leaders to transform operations at Tilt.

The Lead Data Scientist will build pricing systems, lead experiments, mentor teammates, and influence strategy across various departments based on data-driven insights.

The Senior Data Analyst will support marketing and sales, drive growth through analytics, and collaborate with key stakeholders to enhance data-informed decision making.

Design and implement credit strategies using data, machine learning, A/B testing and advanced analytics to optimize underwriting, pricing, and credit line decisions. Lead end-to-end analytics for credit card products, monitor portfolio performance, conduct root-cause analysis, partner cross-functionally, and communicate findings to stakeholders.

The Junior Manual QA Engineer will execute test cases, perform exploratory testing, document bugs, and collaborate with teams to ensure high-quality software. This role involves learning QA methodologies and improving testing processes alongside experienced professionals.

Analyze on-chain trading activity and market/DEX/CEX data at scale, build models for portfolio/PnL and capital efficiency, design AI-driven research pipelines, produce insights to inform product and capital strategy, and collaborate with product and engineering teams.

As a Business Analyst II, you will act as an internal consultant to improve business processes, implement scalable solutions, and ensure data governance and reporting tools are effective for stakeholders.

As a Senior Credit Risk Manager, you'll oversee credit risk underwriting for Plaid Transfer, manage financial exposure, make risk decisions, and collaborate with multiple teams to ensure safe and scalable money movement.

The Principal Marketing Analyst will enhance marketing strategies through data analysis, develop dashboards, manage data tables, and use AI for insights.

Lead and scale the Analytics and Data Science functions, empowering teams to deliver insights that drive business outcomes and foster a data-driven culture.