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KBRA is a credit rating and financial research firm built on a tech stack anchored in Excel, SQL, and Bloomberg—tools typical of quantitative finance shops—while adopting ChatGPT and cloud infrastructure (Snowflake, AWS) to modernize analytical workflows. The hiring mix is heavily finance-weighted (56 of 80 open roles) with director and senior-level concentration, suggesting active expansion in rating methodologies and portfolio coverage rather than headcount growth; hiring velocity is decelerating, implying a stabilization phase post-build-out.
Tech Stack 28 technologies
Core StackPython Salesforce Snowflake Flask AWS MongoDB SQL Server Power BI Docusign Active Directory Google Analytics Marketo Excel SQL VBA ChatGPT Bloomberg R CoreLogic Microsoft Office Word PowerPoint Adobe Acrobat Dayforce Windows 11 Microsoft 365 Outlook Google Search Console
What KBRA Is Building
◆Challenges
- Maintaining timely credit ratings
- Surveillance of existing transactions
- Evolving rating processes
- Evaluating complex multi-assets strategies
- Streamlining new issuance and surveillance processes
- Implementing sustainability goals
- Fund investment
- Complex spreadsheet maintenance
- Enhancing analytical tools
- Expanding ratings portfolio
▲Active Projects
- Analytical tools development
- Rating methodology development
- Research publication
- Fund credit research
- Ongoing monitoring and surveillance process
- Preparation of internal credit memos
- Evaluating and approving rating methodologies
- Ongoing surveillance of rated transactions
- Special topic and market commentaries
- New issuance rating process
Hiring Activity
80 roles · 20 in 30d
Department
Seniority
Notable leadership hires: RMBS Director, Director
Company intelligence
