Assoc, Loan Management & Due Diligence

Goldman Sachs & Co. LLC; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Goldman Sachs & Co. LLC in Dallas, TX seeks an Associate in Loan Management & Due Diligence to support the trading desk through all stages of loan bids and origination.

You will evaluate pool data, normalize loan-level data, run analytics, and prepare bid packets and memoranda for investment committee. The role requires advanced degree in quantitative fields or related, strong mortgage modeling experience, and proficiency with SQL, Python or R to automate processes and generate reports;

Qualifications

• Masters degree or bachelor's with required years of experience as specified in the ad.
• Experience includes executing mortgage cashflow models and explaining drivers of valuations.
• Experience building cash flow, prepayment, default, and loss-severity models for residential mortgage portfolios.

Responsibilities

• Support the trading desk through all stages of NPL/RPL/New Origination bids.
• Normalize and load loan-level data into internal databases; analyze and stratify pools.
• Run analytics and determine modeling assumptions; produce bid packets and memos.
• Monitor month-over-month portfolio changes and identify key drivers.

Skills

Python

SQL

Mortgage modeling

Data analysis

Education

Master's degree in Quantitative Finance, Finance, Accounting, Economics, Business Analytics, or related field

Bachelor's degree in Quantitative Finance, Finance, Accounting, Economics, Business Analytics, or related field

Tools

SQL

Excel

Job description

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. Requires: Masters 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 Bachelors 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 Masters) OR three (3) years of experience (with a Bachelors) 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. Job Code: 10281019.

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.