Top Tech Jobs & Startup Jobs

Lead and deliver organisational performance engagements: design operating models, improve efficiency, drive people-led change and culture, run project teams, produce practical recommendations, engage leaders, and support transformation activation across clients.

Lead client engagements delivering technology-enabled transformation across IT strategy, efficiency, program risk, due diligence and Data & AI. Manage teams, drive problem-solving, develop pragmatic roadmaps, ensure recommendations are practical, and build strong client relationships while supporting delivery and value realization.

Lead identification, prioritization, and delivery of production-grade AI and generative AI solutions for reinsurance operations. Drive AI strategy, cross-functional execution, governance and responsible AI, change management, training, and measurable business value.

Join NERA as a consultant applying PhD-level econometrics and quantitative methods to conduct economic research, build economic and financial models, produce reports and testimony, manage client relationships, and present analytical findings. Collaborate with experts, develop project and people management skills, and support business development and training activities.

PhD economists apply econometric and quantitative methods to conduct economic and financial analyses, develop models, produce research reports and testimony, manage projects and client relationships, and present findings to clients and courts.

Lead and execute risk-based internal audits, test control design and operating effectiveness, and deliver the annual audit plan. Drive audit reporting, root-cause analysis, remediation tracking, and present findings to senior management and the Board. Mentor staff, contribute to resource planning, and support special projects using data analytics and audit methodologies.

Lead large analytics-driven transformation engagements in Pricing, Procurement, or Supply Chain. Shape solution approach, manage delivery governance and senior stakeholders, run cross-functional analytics workstreams, build teams, ensure model quality and data governance, and drive implementation and value realization.

Design, develop, and monitor large-scale data pipelines and cloud-native data applications; collaborate with consulting teams and clients; apply best practices (TDD, CI/CD); build and operationalize ML-ready data platforms; produce documentation and runbooks; mentor junior engineers and contribute to proposals and analytics assets.

Lead project teams by translating scopes into work plans, monitoring progress and budgets, and overseeing junior staff. Leverage deep industry knowledge to design and run data collection, develop databases, models, and methodologies, use computer models/databases to deliver client solutions, and conduct performance reviews.

Lead and execute strategy engagements for financial services clients: break down complex problems, perform rigorous analyses, synthesize findings, manage small teams, work alongside clients, and deliver actionable recommendations.