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About Goldman Sachs
Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.
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Listed pay typically runs
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Risk, AI Model Validation, Vice President joins the multidisciplinary Model Risk Management group to provide independent oversight of model risk across various business lines. This role focuses on validating the performance, accuracy, reliability, and explainability of AI models while ensuring compliance with firmwide policies and regulatory requirements. The individual will develop validation methodologies, create benchmark models, and conduct thorough testing of outputs to identify risks in areas like derivatives valuation, risk management, liquidity, and capital computations. Key responsibilities include collaborating with researchers and developers to address model limitations and improve performance. Candidates should possess a PhD in a quantitative field and over five years of experience as a developer or researcher. Required technical skills include proficiency in Python and data science libraries such as NumPy, Pandas, TensorFlow, and PyTorch, alongside expertise in machine learning algorithms.
Machine Learning
Python
Scala
R
AWS
Relational Databases
Gradient Boosting
Deep Learning
Clustering
Classification
Sentiment Analysis
Big Data
Statistical Modeling
econometric, s
open-source tools
Machine Learning
Generative AI
Python
R
SQL
Git
Neural Networks
Tree-based Models
Model Risk Management
Data Science
Retrieval-Augmented Generation
Model Governance
Explainability
Model Monitoring