Top Tech Jobs & Startup Jobs in Charlotte, NC

Leads enterprise risk management for life and health reinsurance operations. Responsibilities include analyzing and mitigating risks in new business, developing risk dashboards and quantitative indicators, completing ORSA/CISSA assessments, challenging models and assumptions, ensuring regulatory compliance, and advising senior stakeholders on mortality, persistency, capital, and financial reporting risks.

Leads Velogica US information security and compliance, including SOC 2 and ISO 27001 assurance, risk and vulnerability management, control harmonization, audit readiness, client security reviews, and technical security guidance across cloud, application, DevSecOps, AI/LLM, incident response, and secure SDLC practices.

Actuarial Interns support insurance data analysis, actuarial modeling, experience studies, portfolio analysis, valuation, financial reporting, research, and process improvement. They develop reports and visualizations, communicate findings, and contribute to business initiatives in a collaborative reinsurance environment while developing actuarial and analytical skills.

Assists the financial accounting team with journal entries, reconciliations, process documentation, and internal control activities. The intern identifies risks and controls, verifies control effectiveness, captures evidence, and supports communications with management and internal auditors. The role collaborates with finance, actuarial, and operations stakeholders in a hybrid work environment.

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.

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.