Analyst, Banking

Morgan StanleyNew York, NY
$180,000 - $180,000

About The Position

Morgan Stanley & Co. LLC is seeking an Analyst, Banking in New York, New York to apply advanced mathematical and statistical models to evaluate performance data of collateral across both new-issue and warehouse lending securitized product transactions. Analyze complex collateral datasets and deliver performance-driven insights to prospective issuers during pre-transaction discussions and to investors throughout the marketing phase. Develop and maintain Excel-based valuation models that capture both asset-level cash flows and debt amortization structures. Create comprehensive pitch materials and collaborate cross-divisionally to secure new mandates, integrating collateral analytics with macroeconomic and microeconomic trends, as well as insights into prevailing credit market conditions.

Requirements

  • Requires a Bachelor’s degree in Engineering (any), Mathematics, or a related field of study.
  • Requires three (3) years of experience in the position offered or three (3) years as an Analyst, or a closely related occupation.
  • Requires three (3) years of experience with the following skills: building and interpreting 3-statement models, discounted cash flow (DCF) analyses, and leveraged buyout (LBO) scenarios; corporate finance including capital raising, investment decision-making, cash flow management, and strategies; debt and cash flow modeling, and pricing and underwriting new issue transactions; keeping abreast of global credit and equity markets to identify opportunities, anticipate trends, and provide informed guidance to clients; evaluating financial models, and debt cash flows; Bloomberg.
  • Requires two (2) years of experience with the following skills: aviation debt capital markets; asset classes including auto loans, buy-now-pay-later (BNPL), solar financing, and unsecured consumer.
  • Requires FINRA Certifications: SIE, Series 7, Series 63, and Series 79.

Responsibilities

  • Apply advanced mathematical and statistical models to evaluate performance data of collateral across both new-issue and warehouse lending securitized product transactions.
  • Analyze complex collateral datasets and deliver performance-driven insights to prospective issuers during pre-transaction discussions and to investors throughout the marketing phase.
  • Develop and maintain Excel-based valuation models that capture both asset-level cash flows and debt amortization structures.
  • Create comprehensive pitch materials and collaborate cross-divisionally to secure new mandates, integrating collateral analytics with macroeconomic and microeconomic trends, as well as insights into prevailing credit market conditions.
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