Credit Investment Analyst

Responsibilities

• Leverage deep knowledge of credit and debt investing to evaluate instruments such as high yield bonds, leveraged loans, and structured credit products.
• Conduct thorough underwriting and due diligence reviews, assessing capital structures, covenants, and liquidity profiles.
• Develop and refine complex financial models, including 3-statement, LBO, and downside/stress-case scenarios to assess default and refinancing risks.
• Analyze spreads, yields, and relative value opportunities across public and private credit markets to optimize risk-adjusted returns.
• Review complex legal documentation, focusing on covenant packages and protections for various credit structures.
• Deliver incisive, well-articulated written and verbal insights to drive investment decision-making.

Requirements

• 2–6 years of experience in credit investing, underwriting, leveraged finance, or a related field.
• Expertise in analyzing cash flow statements, debt structures, covenants, and liquidity profiles.
• Advanced financial modeling capabilities (3-statement, LBO, downside, and stress-case models).
• Solid understanding of default risk, recovery analysis, refinancing risk, and sponsor evaluation.
• Demonstrated ability to assess spreads, yields, and risk-adjusted returns within a portfolio context.
• Outstanding written and verbal communication skills with a commitment to precision.

Preferred Qualifications

• Background in investment banking (LevFin, FIG, M&A), private credit, credit hedge funds, or rating agencies.
• Significant experience with direct underwriting and investment recommendation processes.
• Commercial banking professionals with advanced modeling and credit structuring exposure.

About the Company

micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments.