Top Tech Jobs & Startup Jobs in Boston, MA

Associates conduct quantitative economic and financial research, frame research approaches, manage projects, supervise staff, and apply finance and economic theory to litigation, strategy, regulation, and public policy matters. They gradually develop client relationships, marketing, and business development expertise while working collaboratively in an academically oriented consulting environment.

Associates apply finance, accounting, and economic concepts to complex consulting engagements involving litigation, corporate strategy, regulation, and public policy. They frame research approaches, manage projects, supervise staff, conduct quantitative analysis, prepare written reports and presentations, develop client relationships, and support marketing and business development. The role offers formal training and increasing responsibility toward potential advancement as principals or testifying experts.

Associates conduct quantitative economic and financial research for litigation, corporate strategy, regulation, and public policy projects. They frame research approaches, manage projects, supervise staff, apply economic theory, develop client relationships, and contribute to marketing and business development. The role offers training and collaboration in an academically oriented consulting environment, with opportunities to develop into principals and testifying experts.

Support economic consulting teams by building quantitative models, performing econometric and statistical analysis, conducting literature and market research, preparing expert reports and presentations, and collaborating across teams to deliver data-driven insights in antitrust, consumer protection, telecom, and related cases.

Work on economic and finance consulting teams to build financial and economic models, conduct quantitative and qualitative research, prepare expert reports and presentations, and collaborate with senior consultants to support litigation, regulatory, and business strategy engagements.

Lead design, build, and support of data platforms, integrations, BI dashboards, ETL pipelines, and business applications. Develop automation and AI-driven workflows, serve as technical lead, partner with stakeholders to translate requirements, administer SharePoint/Microsoft-365 solutions, troubleshoot complex issues, and drive continuous improvement of tools and processes.

Early-career Data & AI Engineer supporting client work and applied R&D. Prepare, clean, and validate heterogeneous data; build reproducible Python/SQL workflows; support ML and generative-AI tasks (embeddings, RAG, evaluation); prototype tools; document assumptions; participate in code review and translate project lessons into reusable assets.