Goldman Sachs & Co. Model Risk Governance, Sr. Analyst/Associate in Salt Lake City, Utah
MORE ABOUT THIS JOB
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.
RESPONSIBILITIES AND QUALIFICATIONS
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.
ABOUT GOLDMAN SACHS
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet. ? The Goldman Sachs Group, Inc., 2015. All rights reserved.
Schedule TypeFull Time
Function(s)Quant/Strats, Risk Management
Business UnitModel Risk Management