VP, AI Model Validation & Risk Oversight

Goldman Sachs; New York (NY); On-site; USD 150,000 - 250,000; Full time

Job summary

Goldman Sachs Model Risk Management (MRM) in New York seeks quantitative experts to validate and approve models, ensuring sound methodology and robust implementation. You will identify uncertainties, assess risk through benchmark models, and monitor performance while communicating outcomes to senior stakeholders.

Candidates should hold an advanced degree in quantitative fields, with strong programming, analytical, and collaborative skills suitable for a fast-paced, global financial environment.

Qualifications

• Advanced degree in quantitative fields such as math, physics, engineering, computer science, or financial engineering.
• Excellent quantitative problem solving skills.
• Experience in stochastic modeling, numerical simulation, and data analysis.
• Machine learning knowledge.
• Good communication skills to explain complex problems clearly.
• Eagerness to learn new technologies and programming languages.
• Excellent organizational skills and ability to work in a fast paced environment.
• Team orientation and ability to work collaboratively.

Responsibilities

• Perform validation and approval of the firm's models by verifying conceptual soundness, methodology, and implementation, and by identifying limitations and uncertainties.
• Assess and quantify model risk by developing alternative benchmark models.
• Oversee monitoring of ongoing model performance and communicate validation outcomes to key stakeholders and management.

Skills

Quantitative skills

Stochastic modeling

Data analysis

Machine learning

Communication skills

Learning new tech

Team collaboration

Education

PhD or MFE in quantitative field

Job description

Goldman Sachs Model Risk Management (MRM) in New York seeks quantitative experts to validate and approve models, ensuring sound methodology and robust implementation. You will identify uncertainties, assess risk through benchmark models, and monitor performance while communicating outcomes to senior stakeholders.

Candidates should hold an advanced degree in quantitative fields, with strong programming, analytical, and collaborative skills suitable for a fast-paced, global financial environment.