About The Position

The Vice President, Loan Management & Due Diligence at Goldman Sachs & Co. LLC in Dallas, Texas, is responsible for collaborating with the trading desk on various stages of non-performing, re-performing loan, and new originations bids. This includes normalizing and loading loan level data into internal databases, analyzing and stratifying pools, determining appropriate modeling assumptions, running analytics, and producing bid packets and investment committee memos. The role involves interacting with the Mortgage Banking team for deal securitizations, generating analytics and schedules for governing documents, ensuring accurate loan level data, and assisting transaction managers with diligence items. Key duties also include monthly marking of residential mortgage warehouse positions, collaborating with transaction managers and due diligence teams to ensure accurate reflection of post-bid activities data in systems, and providing monthly quantitative analysis on portfolio performance with actionable strategies. The Vice President will produce detailed monthly reports on P&L, returns, cash flows, and collateral performance across multiple loan portfolios, conduct periodic model back-testing, and recommend modeling assumption adjustments to the trading desk. Furthermore, the role requires collaboration with internal teams such as Data Management, Operations, Technology, and Modeling to ensure data quality, accurate cash processing, and validation of modeling assumptions.

Requirements

  • Bachelor’s degree (U.S. or foreign equivalent) in Finance, Accounting, Business Administration, Mathematics, Engineering, or a related field
  • Five (5) years of experience in the job offered or in a related role
  • Five (5) years of experience with: interacting with multiple stakeholders across different parts of the business, and effectively managing priorities and updates with stakeholders
  • Five (5) years of experience with: analyzing data, assessing data quality, synthesizing recommendations and initiating actions based on the data analysis that will influence the quality and efficiency of the business
  • Five (5) years of experience with: performing structured data management and governance, including effective data transformation processes and efficient data modelling principles
  • Five (5) years of experience with: utilizing data extraction and analysis tools including SQL, Python and Alteryx, and data visualization and reporting tools including Tableau

Responsibilities

  • Work with the trading desk on various stages of potential non-performing, re-performing loan and new originations bids (NPL/RPL/ New Origination)
  • Normalize and load loan level data into internal databases
  • Analyze and stratify pools
  • Determine appropriate modeling assumptions
  • Run analytics and produce bid packets and investment committee memos
  • Interact with the Mortgage Banking team on deal securitizations to produce analytics, schedules for the governing documents, accurate loan level data, and work with transaction managers on diligence items
  • Work with the desk on monthly marking of residential mortgage warehouse positions
  • Collaborate with transaction managers and due diligence teams to ensure all post-bid activities data related to final settlement of awarded bids are accurately reflected in the systems
  • Provide thoughtful monthly quantitative analysis on the key drivers of portfolio performance and recommend actionable strategies to asset managers and the trading desk
  • Produce detailed monthly reports on P&L, returns, cash flows and collateral performance of the loan portfolio across multiple portfolios
  • Conduct a periodic model back-testing on the existing portfolio and recommend modeling assumptions adjustments to the trading desk
  • Collaborate across internal teams (Data Management, Operations, Technology, and Modeling) to ensure the quality of data, accurate cash processing, and validate modeling assumptions

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Number of Employees

5,001-10,000 employees

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