GLC Advisors & Co.
Class of 2027 Full Time Analyst
New York, NY · Senior · Full-time
Sponsorship not specifiedDetected 50 days ago
Financial ModelingAccountingExcelValuationM&AResearchCommunicationPublic SpeakingMicrosoft Office
About the role
- About GLC Advisors & Co., LLC GLC Advisors & Co., LLC (GLC) is a leading independent investment banking advisory firm delivering objective, senior-level expertise to execute financial advisory assignments for its clients.
- GLC has been ranked in the top 10 in Thomson Reuters' US Restructuring Advisors from 2010-2025.
- Recently, GLC has been involved in many high-profile restructurings, including Hertz, Puerto Rico, Toys "R" Us, iHeartMedia, FirstEnergy, and Caesars Entertainment.
Responsibilities
- Building financial models and performing valuation analyses
- Analysts provide direct support to senior bankers and are expected to handle a high level of responsibility in the execution of restructuring and distressed financing transactions.
Requirements
- Undergraduate degree from an outstanding institution with exceptional academic achievement
- Ability to work in a fast paced environment
- Strong knowledge of Excel, Word, PowerPoint, Bloomberg and other financial information tools (e.g., Capital IQ, etc.)
- Exceptional work ethic
- Also open to accounting majors who wish to transition to investment banking
- Strong modeling and financial statement analysis skills
- Excellent written and oral communication skills
Nice to have
- Prior experience working as an Analyst within a bulge-bracket, major or boutique investment bank is preferred (prior experience in restructuring, leveraged finance or debt capital markets is ideal)
Benefits
- The senior professionals at GLC have advised on over 850 transactions involving more than $820 billion of debt, equity linked and equity securities.
Apply directly at GLC Advisors & Co. →Create a free account for alerts like thisView GLC Advisors & Co. immigration profile
This listing is sourced directly from GLC Advisors & Co.'s careers page and normalized into a canonical job model.