Top Tech Jobs & Startup Jobs in Charlotte, NC

Designs and executes financial solutions and reinsurance transactions for insurance companies, focusing on mortality and morbidity deals. Responsibilities include structuring, pricing coordination, approvals, due diligence, treaty negotiations, post-close transition, origination support, and developing new products. The role requires strong financial, actuarial, reinsurance, statutory accounting, transaction leadership, and client-facing skills, with collaboration across pricing, marketing, and internal stakeholders.

Develop and lead innovative actuarial reporting tools, analytical frameworks, and process improvements for U.S. Life business. Analyze reserving metrics, economic value reporting, IFRS 17, Solvency II, valuation, and financial scenarios. Partner with business and senior management, support group reporting and capital model activities, improve controls and processes, and mentor junior team members.

Owns US actuarial reporting and analysis across statutory, GAAP, and tax frameworks. Responsibilities include reserve analysis, financial audits, Appointed Actuary filings, regulatory compliance, model validation, controls, reporting improvements, and collaboration with actuarial and finance teams. The role also provides technical guidance, mentorship, and expertise for strategic initiatives within the insurance and reinsurance business.

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.