Goldman Sachs & Co. Model Risk Governance, Sr. Analyst/Associate in Salt Lake City, Utah


The Model Risk Management (MRM) group is a multidisciplinary group of quantitative experts at Goldman Sachs with presence in New York, Salt Lake City, London, Warsaw, Singapore, Hong Kong, and Bangalore.

MRM is responsible for independent oversight of the firm’s model risk, ensuring compliance with the Model Control Policy, and evidencing effective challenge over model development, documentation, implementation, and usage.The group’s primary mandate is to manage risk that arises from model use through the firm’s range of businesses – including derivatives, securities and other investments’ valuation; market, credit and operational risk management; liquidity and capital computations; and more.



Model Governance

  • Establish, maintain and enforce the MRM framework and governance structure

  • Develop firmwide requirements supporting the MRM framework

  • Establish requirements specific to Model Inventory, to inventory Models and obtain quarterly attestations across all divisions in the firm.

  • Oversee ongoing Model performance monitoring jointly with Model Validation and enforce change control procedures

  • Manage Model validation findings, including tracking and escalation of findings

  • Communicate and coordinate with Compliance to train key stakeholders on Model Control Policy and related requirements, including any significant changes.

Model Inventory Ongoing Monitoring

  • Maintain model inventory data integrity by resolving exceptions from automated checks on inventory changes such as additions, deactivations, classification changes and approval status.

  • Create automated scripts and reports for model inventory ongoing monitoring

Model Inventory Management

  • Help process new model classifications, changes, deactivations.

  • Provide ad-hoc analysis on model inventory.

  • Liaise with MRM Technology team to support Model Inventory Management

  • Resolve inquiries from model stakeholders and owners on models inventory.


  • Programming skills, including object oriented languages and scripts (e.g., SQL, Access, VBA).

  • Strong speaker able to communicate deliverables across various seniority levels.

  • Excellent analytical, quantitative, interpersonal and organizational skills. Team oriented.

  • Preferable: Financial industry experience. Model development and/or validation experience. Machine learning knowledge.

  • Bachelor’s degree in mathematics, computer science, hard sciences, financial engineering or finance.


Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet. ? The Goldman Sachs Group, Inc., 2015. All rights reserved.

Job ID2018-46660

Schedule TypeFull Time


Function(s)Quant/Strats, Risk Management



Business UnitModel Risk Management

Employment TypeEmployee