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Analyze transactional payments data to identify trends, anomalies, and opportunities to improve acceptance rates. Build automated merchant reporting and monitoring using large datasets and AWS QuickSight. Apply statistical modeling with Python or R, extract and transform data with SQL, and translate findings into actionable insights for internal teams and business decisions.

Manage merchant and partner relationships, coordinate communication with risk, treasury, finance, technical support, and product teams, and lead client onboarding and service activation. Support technical integrations, handle client applications, prepare credit committee submissions, maintain accurate service knowledge, identify issues, and deliver commercially focused, customer-centric account support.

Lead the design and engineering of AI solutions, manage a team, implement AWS services, and define best practices for AI applications.

The Senior Quality Assurance Engineer will design and maintain test cases, perform various types of testing, automate tests, and improve QA processes. They will work with developers and stakeholders and leverage AI tools for increased efficiency.

The Data Engineer will automate data processes, design datasets for analytics, write SQL queries, and collaborate with BI tools and teams to meet business data needs.

Design and implement back-end workflows and APIs for payment platforms, utilizing Ruby on Rails, TDD/BDD practices, and ensuring high availability.

Provide expert technical support to clients, oversee system applications, assist with integrations, troubleshoot issues, and ensure compliance with regulations.

The Business Intelligence Engineer will analyze data, create reports, and design datasets while collaborating with various teams to support data-driven decision-making.

The Senior AI Engineer will design and implement AI solutions focusing on AI agents, workflows, and machine learning applications, collaborating across teams and utilizing AWS services.