Lead Analyst - Asset Backed Finance

Due Diligence: Support senior analysts and portfolio managers in the end-to-end due diligence process for potential acquisitions and investments, including reviewing legal documentation (indentures, prospectuses), data tapes, and third-party reports.

Performance Monitoring: Monitor the ongoing performance of portfolio assets, track key metrics (e.g., delinquency rates, default rates, recovery rates), and perform regular risk and sensitivity analyses (e.g., stress testing, scenario analysis).

Reporting & Presentation: Prepare detailed investment memos, reports, and presentations for the investment committee, senior management, and external investors, translating complex financial data into clear and actionable insights.

Market Research: Conduct in-depth research on industry trends, market conditions, and regulatory developments within the ABS and structured credit landscape to inform investment strategies.

Collaboration: Work closely with cross-functional teams, including operations, compliance, accounting, and legal, to ensure seamless deal execution and accurate reporting.

Database Management: Maintain and enhance internal databases of financial, market, and industry information, potentially using programming languages like Python or SQL for data extraction and analysis.

Qualifications:

Master’s degree in finance / CFA / CA.

6-10 years of experience in asset-backed finance or structured finance.

Strong analytical skills with proficiency in financial modeling and valuation techniques.

Excellent written and verbal communication skills, with the ability to present complex information clearly.

Proficiency in Microsoft Excel and other financial analysis software; familiarity with Bloomberg or similar platforms is a plus.

Detail-oriented with strong organizational skills and the ability to manage multiple projects simultaneously.

Prior experience in managing teams and client, handling service delivery and other stakeholder management activities

Ability to manage changing priorities and tight deadlines.

A team player with a proactive attitude and a passion for the finance industry.

Knowledge of Python or SQL would be a plus.