Goldman Sachs
Global Banking & Markets – Dallas - Vice President, Loan Management & Due Dilige
Goldman Sachs, Dallas, Texas, United States, 75215
Global Banking & Markets – Dallas - Vice President, Loan Management & Due Diligence - 8886863
Overview
Vice President, Loan Management & Due Diligence with Goldman Sachs & Co. LLC in Dallas, Texas. This role involves working with the trading desk on stages of potential non-performing, re-performing loan and new originations bids (NPL/RPL/ New Origination), normalizing and loading loan level data into internal databases, analyzing and stratifying pools, and determining modeling assumptions. The role also includes producing bid packets and investment committee memos and collaborating with various teams on securitizations, diligence items, portfolio analytics, and post-bid data management. 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 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. Qualifications
Bachelor’s degree (U.S. or foreign equivalent) in Finance, Accounting, Business Administration, Mathematics, Engineering, or a related field and five (5) years of experience in the job offered or in a related role. Experience must include five (5) years of: Interacting with multiple stakeholders across different parts of the business, and effectively managing priorities and updates with stakeholders. Analyzing data, assessing data quality, synthesizing recommendations and initiating actions based on data analysis that will influence quality and efficiency of the business. Performing structured data management and governance, including effective data transformation processes and efficient data modelling principles. Utilizing data extraction and analysis tools including SQL, Python and Alteryx, and data visualization and reporting tools including Tableau. ©The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.
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Overview
Vice President, Loan Management & Due Diligence with Goldman Sachs & Co. LLC in Dallas, Texas. This role involves working with the trading desk on stages of potential non-performing, re-performing loan and new originations bids (NPL/RPL/ New Origination), normalizing and loading loan level data into internal databases, analyzing and stratifying pools, and determining modeling assumptions. The role also includes producing bid packets and investment committee memos and collaborating with various teams on securitizations, diligence items, portfolio analytics, and post-bid data management. 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 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. Qualifications
Bachelor’s degree (U.S. or foreign equivalent) in Finance, Accounting, Business Administration, Mathematics, Engineering, or a related field and five (5) years of experience in the job offered or in a related role. Experience must include five (5) years of: Interacting with multiple stakeholders across different parts of the business, and effectively managing priorities and updates with stakeholders. Analyzing data, assessing data quality, synthesizing recommendations and initiating actions based on data analysis that will influence quality and efficiency of the business. Performing structured data management and governance, including effective data transformation processes and efficient data modelling principles. Utilizing data extraction and analysis tools including SQL, Python and Alteryx, and data visualization and reporting tools including Tableau. ©The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.
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