Top Tech Jobs & Startup Jobs

Lead and manage global entity governance, compliance, and recordkeeping across multiple jurisdictions. Prepare corporate governance documents, support board and shareholder processes, maintain minute books and entity databases, manage US state registrations, support formations/M&A, respond to audits and regulatory requests, liaise with stakeholders and external counsel, and improve governance processes and systems.

Support global corporate governance and entity management across multiple jurisdictions. Prepare governance documents, lead board and shareholder meetings, maintain minute books and databases, manage US state registrations, support audits, M&A and shareholder lifecycle processes, build and audit entity management systems, liaise with stakeholders, ensure regulatory compliance and data-privacy record retention, and drive process standardization and improvement.

Supports life and annuity actuarial consulting engagements through financial modeling, valuation, pricing, forecasting, risk management, cash flow testing, asset modeling, and statutory, GAAP, and international reporting. Builds and maintains actuarial models, documents analytical deliverables, communicates results, supports client meetings and business development, and manages multiple projects. The role involves occasional domestic and international travel.

Supports the Irix technology platform as a technical subject matter expert, implementing and testing client rule configurations, performing regression and impact testing, conducting simulation studies, preparing reports, managing documentation, and deploying cloud and on-premises systems. The role also involves client communication, peer review, user acceptance testing, and analysis of sensitive healthcare data.

Develop and maintain cloud applications, leveraging Microsoft technologies and DevOps practices, while following Agile methodologies and best coding practices.

Provides actuarial consulting for property and casualty insurance, reinsurance, ILS, and alternative-risk clients. Responsibilities include peer review, project oversight, client relationship management, mentoring actuaries, data analysis, statistical modeling, report preparation, presentations, quality control, documentation, and process improvement. The role requires FCAS certification, advanced R and Excel skills, strong analytical judgment, leadership, and the ability to manage multiple client projects.

Associate Actuary delivering actuarial consulting projects across property and casualty insurance, reinsurance, ILS, and alternative-risk markets. Responsibilities include complex data analysis and modeling, project oversight, client communication, report preparation, quality control, mentoring analysts, process improvement, and presentations. The role requires ACAS credentials, strong Excel and R expertise, quantitative education, and pursuit of CAS Fellowship. Hybrid work is available in Boston or Burlington, with remote options for experienced candidates and up to 20% travel.

Provides entry-level accounting support across billing, accounts payable, expense reports, financial system maintenance, timesheet review, reconciliations, journal entries, cash application, and client account administration. Maintains financial records, processes invoices and payments, supports monthly accounting activities, and assists with internal controls and process improvements. The role requires organization, accuracy, analytical ability, communication skills, and collaboration with accounting and business-unit teams.

Leads complex, cross-functional business and technology projects from initiation through delivery, adoption, and closure. Responsibilities include project governance, planning, budgeting, risk and issue management, stakeholder communication, vendor oversight, organizational change, operational readiness, and executive reporting. The role also mentors project managers and improves PMO standards, tools, methods, and governance.

Develop and deploy traditional machine learning, GenAI, and NLP solutions for healthcare, insurance, and life sciences applications. Responsibilities include model research, validation, documentation, deployment, maintenance, experimentation, and collaboration with product, business development, ML engineering, and IT teams. The role also contributes to data science best practices, internal tooling, peer review, coaching, and translating client analytical needs into commercially viable products.