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The Fraud Model Analyst role involves analyzing large datasets, developing algorithms, and presenting insights to management to optimize processes.

As a Data Scientist Lead at PNC, you will oversee analytical projects involving structured and unstructured data, manage data processing, and supervise advanced analytics initiatives, providing leadership for data science activities.

Lead and execute UAT, SIT, and regression testing; design test cases, manage defects, maintain traceability and documentation, support test tools (Jira/Xray), enable stakeholders through training, Confluence content, and process improvements across an enterprise governed environment.

Perform data analysis and information systems management for clients, advise end-users on data manipulation and statistical analysis, implement and support information-management technologies, select and catalog data sources, and conduct customer research and outreach.

As the Business Continuity Lead, you will manage business continuity planning, risk assessments, and ensure compliance with operational resilience standards.

The Senior Data Analyst manages information systems, ensures data integrity, supports technologies for data management, and conducts analysis to assist end-users, promoting data-related services and solutions.

The Solution Architect will lead architectural oversight in Credit Card Servicing, ensuring integration and governance across legacy and modern systems, driving data architecture, and supporting modernization initiatives.

Support Scrum teams by fostering Agile values and practices, coaching on the Scrum framework, protecting teams from outside influences, enabling continuous improvement, and partnering with the Product Owner to prioritize backlog items.

Lead and execute business continuity, crisis and emergency management activities: assess hazards, develop/review recovery and contingency plans, coordinate 24x7 response, ensure regulatory compliance, conduct impact analyses, testing, training, and reporting to leadership and regulators.

As a Back-End Software Engineer, you will develop scalable backend services with Java and Spring, implement RESTful APIs, and support cloud-native deployments in Agile teams.