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Lead architecture and development of scalable, cloud-native reinsurance systems on Microsoft Azure. Guide full-stack engineering across Java, .NET, Python, Angular, and React; drive Kubernetes-based deployment and CI/CD; integrate generative AI and intelligent automation; mentor engineers; collaborate with business stakeholders; and ensure security, privacy, compliance, responsible AI, and operational reliability for applications handling PII.

Supports manual and automated software testing, including test case development, functional and regression testing, performance testing, defect analysis, and QA planning. Collaborates with developers, architects, product owners, and business users in an Agile environment. Builds and improves automation frameworks, applies CI/CD and AI-assisted testing practices, researches testing tools, and contributes to quality engineering initiatives for global reinsurance platforms.

Supports the Strategy and Business Intelligence team through financial data assembly, analysis, reconciliation, reporting, dataset creation, documentation, and new business analysis. Partners with Client Solutions and Strategy teams, participates in agile meetings, tracks task progress, and provides status updates. The role requires an undergraduate business, finance, economics, risk management, or actuarial background, with Excel and Tableau knowledge preferred.

The Data Science Intern will collaborate with data scientists, engineers, and actuaries on mortality risk quantification, insurance pricing, interpretable machine learning, and fairness. Responsibilities include assisting with ML model training, interpretation, experiments, analytics pipelines, software development, financial impact analysis, and presenting a final project. The role is a 10-week hybrid internship in Charlotte with three in-office days weekly.

Participate in a 10-week executive risks underwriting internship rotating through Financial Institutions and Public Commercial Underwriting. Analyze financial statements, risk exposures, macroeconomic trends, and portfolio factors; prepare underwriting reports; support broker relationship analysis, file documentation, compliance, departmental projects, and a final research presentation.

Supports Group Life and Accident reinsurance actuaries with pricing, risk management, concentration data management, research, financial reporting, and project presentations. Collaborates with actuaries, underwriters, and global SCOR teams while gaining practical actuarial experience through a flexible school-year and summer internship schedule.

Legal Intern supporting SCOR’s U.S. P&C Legal team with insurance-law research, regulatory submissions, department inquiries, legislative and regulatory monitoring, legal memoranda, training materials, and special projects. The role provides exposure to insurance law, regulatory compliance, underwriting, product development, and in-house legal operations.

Finance intern supporting reinsurance accounting and quarterly close activities. Responsibilities include completing closing tasks, maintaining audit files, running reports, reviewing variance analyses, investigating anomalies, preparing analytical and regulatory reports, supporting special projects, and presenting data-driven recommendations. The role provides training, mentoring, networking, and feedback while developing finance, accounting, analytical, and decision-making skills.

Leads underwriting automation initiatives by translating business and underwriting objectives into requirements, business rules, user stories, implementation plans, and prioritized backlogs. Coordinates clients, underwriters, product owners, technology teams, and development partners. Facilitates Agile ceremonies, manages delivery documentation and dependencies, tracks progress and risks, and drives improvements in automation, data utilization, underwriting decisions, configurator usability, and operational efficiency.

Build and maintain Tableau dashboards, certified semantic models, dimensional data models, and Snowflake data warehouses integrated with Aurora. Apply Python, SQL, version control, and CI/CD to analytics assets while ensuring data quality, governance, lineage, observability, performance, and scalability. Partner with stakeholders to translate reporting needs into trusted, self-service business intelligence.