Berkeley Research Group

HQ
Emeryville
Total Offices: 7
1,629 Total Employees
Year Founded: 2010

Berkeley Research Group Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers disability insurance

Offers supplemental life insurance

Offers dental insurance

Offers health insurance

Offers Flexible Spending Account (FSA)

Offers vision insurance

Provides family medical leave

Offers generous parental leave

Offers performance bonuses

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers generous PTO

Provides paid holidays

Career Growth + Development

Provides customized development tracks

Job training & conferences

Company Culture

Offers a remote work program

Provides free snacks and drinks

Provides a mobile phone discount

Other
Supports buy-side and sell-side transaction advisory engagements through financial statement review, quality of earnings, working capital analysis, financial modeling, due diligence, and business plan assessment. Prepares client reports, analyses, presentations, and recommendations; identifies purchase price adjustments and deal-structuring insights; collaborates with clients and multidisciplinary teams; supervises project work; and contributes to client pitches and practice development. Travel up to 25% is required.
Other
Lead architecture and hands-on engineering for production AI solutions in financial services. Build RAG and agentic workflows, evaluation systems, LLMOps practices, security safeguards, and governed human-in-the-loop processes. Collaborate with clients, engineers, vendors, and risk teams to deliver reusable solutions, mentor technical staff, define implementation roadmaps, and support consulting pursuits.
Other
Lead full-stack engineering workstreams for secure, accessible AI-enabled applications in financial services. Build TypeScript and React interfaces, Python or Node.js backends, human-review workflows, integrations, authentication, authorization, testing, and deployment pipelines. Collaborate with clients, AI and data specialists, risk teams, and vendors; mentor engineers; establish monitoring and support processes; and create reusable digital assets. The role requires direct client collaboration, technical leadership, and delivery of production applications.