Job Duties: Associate, Loan Management & Due Diligence with Goldman Sachs & Co. LLC in Dallas, Texas. Support the trading desk through all stages of potential non-performing, re-performing, and new origination/forward flow bids (NPL/RPL/New Origination), including evaluating pool and bid data, 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 memoranda. Monitor month-over-month portfolio changes and identify the key drivers behind them across all residential mortgage whole-loan and warehouse positions in collaboration with the trading desk on the monthly marking of these positions. Produce detailed monthly reports on Profit and Loss (P&L), returns, cash flows, and collateral performance across multiple loan portfolios. Deliver qualitative and quantitative analysis on the key drivers of portfolio performance and recommend actionable strategies to asset managers and the trading desk. Collaborate with transaction managers and due-diligence teams to ensure all post-bid activity data related to the final settlement of awarded bids are accurately reflected in internal systems.Work closely with internal teams, including Data Management, Operations, Technology, Controllers, Risk, and Modeling, to ensure data quality, accurate cash processing, and validated modeling assumptions. Engage with external portfolio servicers and managers to understand their business plans, track actual performance against projections, and develop a nuanced understanding of collateral characteristics across geographies. Conduct periodic model back-testing on the existing portfolio and recommend modeling-assumption adjustments to the trading desk.
Job Requirements: Master’s degree (U.S. or foreign equivalent) in Quantitative Finance, Finance, Accounting, Economics, Business Analytics, or related field and one (1) year of experience in job offered or a related role OR Bachelor’s degree (U.S. or foreign equivalent) in Quantitative Finance, Finance, Accounting, Economics, Business Analytics, or related field and three (3) years of experience in job offered or a related role. Prior employment must include one (1) year of experience (with a Master’s) OR three (3) years of experience (with a Bachelor’s) with: executing mortgage cashflow models and explaining drivers of different mortgage valuations and providing feedback to modeling team to enhance the accuracy and predictability of the model; building and maintaining cash flow, prepayment, default, and loss-severity models for residential mortgage whole-loan portfolios, including periodic back-testing of model outputs against actual collateral performance and recommending assumption adjustment; monitoring interest rate risk exposure to the mortgage portfolio and allocating hedge P&L on loan level, based on different loan characteristics; reconciling post-bid settlement data by collaborating with transaction managers, due-diligence teams, and internal systems, including trade capture, loan accounting, and data management platforms, to ensure accuracy; working with Structured Query Language (SQL) to access and analyze large amounts of data; programming languages, including Python or R, to automate different processes and create reports; and communicating portfolio analysis results and strategic recommendations to clients and internal stakeholders through presentations and reports.
©The Goldman Sachs Group, Inc., 2026. 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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Our team of engineers builds solutions to the most complex problems. We develop cutting-edge systems and processes that form the core of our key business and enable transactions to move in milliseconds. We provide real-time access to critical deal information and crunch billions of data points each day to inform firm-wide market insights and strategies. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field.