Jobs at Berkeley Research Group

Support consulting engagements with quantitative and qualitative research, data collection, statistical and econometric analysis, and model building. Use tools like SQL, R, Stata, Python, SAS or Snowflake to analyze data, contribute to client deliverables and expert reports, and work closely with senior staff and mentors during an eight-week Summer Associate program.

Support expert teams by sourcing and analyzing large datasets, conducting economic and industry research, building econometric and forecasting models, preparing expert reports, exhibits and client deliverables, and contributing quantitative insights for litigation, arbitration, and regulatory matters.

Support Turnaround & Restructuring engagements by building 13-week cash flow and three-statement models, performing financial and scenario analyses, preparing reports and client presentations, collaborating with teams and stakeholders, and assisting with business development and practice growth activities.

Lead and oversee consulting engagement workstreams in applied economics and antitrust matters: design economic, statistical, and financial analyses; model data and markets; manage client relationships; develop and present deliverables; mentor junior staff; ensure quality control; conduct industry research; and support business development.

Manage a defined product area: set priorities, own roadmap, run agile ceremonies, partner with engineering/design/client teams, drive launches, change management, and define success metrics to deliver scalable B2B solutions.

Lead consumer banking and lending transformation engagements across operations, technology, and customer lifecycle. Assess current operations, design future-state operating models, run PMOs/governance, support vendor selection and implementation, produce executive deliverables, build client relationships, and help grow the practice through business development, recruiting, and thought leadership. Collaborate with AI specialists to integrate AI-enabled approaches.

Design, build, and maintain highly available cloud-native systems. Improve reliability through automation, CI/CD, Kubernetes, observability, and incident management. Collaborate with developers, security, and product teams to define SLOs, implement self-healing, debug production issues, and ensure secure deployments.

Design and implement a virtual access layer to enable remote use of a physical AI lab, building scalable, secure infrastructure to process 100,000+ documents/day with LLMs, optimize GPU/LLM throughput, provide customizable interfaces, implement authentication/access controls, and lead projects from design to production.