Top Tech Jobs & Startup Jobs in Charlotte, NC

In this role, you will lead the Credit Team, manage P&L, mentor analysts, optimize strategies, and collaborate on product development.

Analyze fraud trends, develop fraud strategies, monitor performance, and collaborate with teams to optimize fraud detection capabilities while balancing risk with customer experience.

The Director of Compensation & Total Rewards will design and implement scalable compensation structures, lead a team, and align strategies with business goals.

The Technical Sourcer will identify, engage, and attract top-tier candidates for various roles while collaborating with the talent acquisition team.

The Principal Business Analyst will lead initiatives to optimize underwriting and acquisition strategies, leveraging data analysis and collaborating with cross-functional teams to improve profitability and credit risk.

As a Principal Data Scientist, you'll design and deploy cutting-edge machine learning models to drive financial success for customers and guide technical teams.

As a Product Manager for Acquisitions Decisioning, you will manage the decisioning logic for customer credit applications, optimizing backend systems, collaborating with cross-functional teams, and driving product strategy to enhance financial decision-making.

Lead product development for credit card decisioning and customer journeys, translating credit policy and data into real-time actions. Partner with Engineering, Data, and Credit to operationalize underwriting and payment models, run experiments, use SQL for analytics, and craft roadmaps that balance business outcomes with customer well-being.

Lead the strategic direction of data science at Mission Lane, innovating machine learning applications and managing a high-performing team to enhance financial outcomes.

Design, develop, and deploy production machine learning models to improve decisioning for consumer lending. Partner with business and technical teams to develop data sources, improve modeling methodology, manage models in production, and mentor others while practicing strong software engineering and MLOps practices.