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**Associate, Model Risk, Dallas** - **Role:** Risk Division, Dallas; Associate level, Model Risk - **Responsibilities:** Analyze, monitor, assess model risk; validate model implementation; document in LaTeX - **Skills:** Python, SQL, statistics, model development/validation, understanding of derivative products - **Education:** Master's degree (1 year experience) or Bachelor's degree (3 years experience) in related field - **Experience:** 1-3 years, depending on degree level - **Seniority:** Mid-level (Associate) - **Location:** Dallas, TX, United States
- Compensation
- Not specified USD
- City
- Dallas
- Country
- United States
Currency: $ (USD)
Full Job Description
Job Duties: Associate, Model Risk with Goldman Sachs & Co. LLC in Dallas, Texas. Analyze, monitor, and assess model risk associated with the development and implementation of counterparty credit risk models used in Prime Brokerage and Clearing across a wide range of assets including equities, crypto, commodities, FX and credit. Assess model implementation risk by analyzing implementation code and reviewing all associated changes. Verify the conceptual soundness of models and their mathematical and statistical correctness. Examine code implementation in a variety of platforms including C++, Java, Python, or R. Document the entire validation fieldwork in Latex files for automated version controls and report major validation findings to model owners and developers for remedial action. Provide timely updates as required to meet requirements set out in regulatory exams. Monitor the performance of the Firms counterparty credit risk models and investigate major model-related incidents. Team with Risk governance, and other federation groups to address any counterparty credit risk model-related issues or new regulatory compliance requirements. Advise senior management on the risks associated with new initiatives and changes to existing counterparty credit risk models.
Job Requirements: Masters degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Industrial Engineering or related field and one (1) year of experience in the job offered or in a related role OR Bachelors degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Industrial Engineering or related field and three (3) year of experience in the job offered or in a related role. Prior experience must include one (1) year of experience with Masters degree or three (3) years of experience with Bachelors degree with the following: working with Counterparty Credit Risk Models; performing-testing analysis of statistical models to assess their consistency and performance against historical data; scripting with Python and working with relational databases and SQL for data extraction and processing; pricing and risk analysis of derivative products including futures, options and swaps; performing model development, testing, validation, and issue remediation throughout the model life cycle; and writing formal version-controlled validation reports using LaTex, including equations and tables.
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.



