Debt Expert

Investment Research & Analytics Team seeks a highly motivated Credit Analyst to contribute directly to investment strategies across high yield, leveraged loans, investment grade, structured credit, and distressed debt.

The successful candidate will work closely with senior researchers, applying a blend of fundamental analysis and data-driven techniques to support investment recommendations and portfolio monitoring.

• Conduct in-depth fundamental credit analysis of issuers across industries, including capital structure, covenant, and cash flow assessments.
• Develop and maintain dynamic financial models covering three-statement forecasting, scenario analysis, and recovery modeling.
• Prepare clear and concise investment memos, relative value assessments, and recommendations to support portfolio decisions.
• Monitor existing portfolio positions and update models based on earnings, event-driven developments, and market shifts.
• Identify early warning signals and risk factors at the company, sector, and macro levels.
• Contribute to thematic and sectoral research reports on emerging trends, market dislocations, and special situations.
• Collaborate with investment teams to integrate advanced analytics, automation, and AI-enabled insights into research workflows.

Candidate Requirements:

• 2–5 years of experience in credit research, investment banking, or asset management.
• Strong academic background; CFA, CPA, or MBA in Finance preferred.
• Proficiency in financial modeling, valuation, and covenant analysis.
• Familiarity with high yield, distressed, and investment grade markets.
• Excellent written and verbal communication skills; ability to synthesize complex analysis into actionable insights.
• Self-driven, intellectually curious, and comfortable operating in a fast-paced, collaborative, and technology-driven environment.

Benefits:

• Exposure to diverse credit strategies across both private and public markets.
• Opportunity to influence investment decisions at scale, working directly with senior professionals.
• A culture that combines rigorous fundamental research with systematic tools, automation, and data science.
• Professional growth through mentorship and access to senior leadership in the investment function.