Review and validate AI-generated credit analysis outputs against underlying debt documentation
Identify inaccuracies, inconsistencies, missing context, or overlooked risks in AI-generated conclusions
Ensure analytical outputs are complete, accurate, and commercially relevant
Continuously improve the quality and reliability of AI-assisted review workflows
Analyze senior secured credit agreements, bond indentures, loan facilities, and related debt documentation
Interpret covenant structures, lender protections, borrower restrictions, and capital stack implications
Identify loopholes, liquidity concerns, covenant risks, and restructuring vulnerabilities
Synthesize complex legal-financial language into concise, actionable summaries
Review financial statements including 10-Ks, 10-Qs, balance sheets, income statements, cash flow statements, and P&Ls
Assess borrower financial health in relation to debt obligations and covenant compliance
Evaluate distressed companies across sectors such as healthcare, software, and technology
Analyze liquidity pressures, restructuring implications, and broader credit risk indicators
Support distressed company research and target sourcing initiatives using public filings and market information
Review SEC EDGAR filings and related documentation to support analytical workflows
Assist in building scalable research and analysis processes
Operate independently in a fast-paced startup environment with strong ownership and accountability
Prepare concise, high-signal summaries for founder and leadership review
Clearly communicate covenant concerns, documentation inconsistencies, restructuring risks, and AI validation findings
Surface issues proactively and support decision-making with structured analytical insights
Requirements
3–6 years of experience in leveraged finance, restructuring, private credit, corporate credit analysis, or related analytical environments. Experience in fast-moving or high-accountability environments is strongly preferred.
Strong understanding of senior secured credit agreements, bond indentures, loan facilities, covenant structures, and capital stack implications. Comfortable interpreting complex debt documentation independently.
Strong financial statement analysis skills, including experience reviewing balance sheets, income statements, cash flow statements, and broader borrower financial health indicators.
Familiarity with distressed company analysis, liquidity risk assessment, restructuring implications, covenant risk evaluation, and credit deterioration signals.
Comfort working alongside AI-assisted analysis systems, including validating machine-generated outputs, identifying inconsistencies, and improving analytical reliability through human judgment.
Strong ability to synthesize large volumes of financial and legal information into concise, actionable insights. Highly detail-oriented with excellent analytical reasoning capability.
Strong written communication skills with the ability to communicate complex findings clearly and operate independently with minimal oversight in startup environments.
Familiarity with DCF models, LBO frameworks, distressed debt analysis, or related credit modeling concepts is strongly preferred.