Remote Senior GenAI Risk & Model Validation Analyst

Ladders; United States; Remote; USD 108,000 - 162,000; Full time

Benefits offered by this job

Professional development opportunities

Collaborative cross-team environment

Access to cutting-edge AI tools

Job summary

Ladders is seeking a Sr Analyst Model Risk & AI, Gen AI Model Validation to join a leader in the Finance & Insurance space. The role focuses on validating generative AI and agentic AI use cases across multiple business functions, with emphasis on model risk management and rigorous quantitative testing practices.

The successful candidate will help ensure AI methods, calculations, and assumptions are appropriate for intended use while strengthening reliability, transparency, and governance in a

Qualifications

• Advanced degree (M.S. or Ph.D.) in AI, ML, Computational Science, or a related field.
• 3+ years of experience in machine learning or data science, with 1+ year focused on GenAI or agentic AI.
• Strong programming skills in Python, SQL, and Git.
• Familiarity with cloud and AI tools such as GCP/Vertex AI, AWS/SageMaker, and OpenAI APIs.

Responsibilities

• Perform model validations for generative AI and agentic AI use cases across various business functions.
• Ensure accuracy of model calculations, algorithms, and methods for intended use.
• Design challenger solutions and testing methods for AI tasks.
• Review quantitative and qualitative testing techniques to assess model reliability.
• Evaluate data inputs and assumptions for accuracy and appropriateness.
• Design testing approaches for non-deterministic AI systems, including statistical evaluations.
• Prepare clear model validation reports with findings and recommendations.

Skills

Python

SQL

Git

GenAI concepts

Education

MS or PhD in AI/ML/Computational Science

Tools

GCP/Vertex AI

AWS/SageMaker

OpenAI APIs

Job description

Ladders is seeking a Sr Analyst Model Risk & AI, Gen AI Model Validation to join a leader in the Finance & Insurance space. The role focuses on validating generative AI and agentic AI use cases across multiple business functions, with emphasis on model risk management and rigorous quantitative testing practices.

The successful candidate will help ensure AI methods, calculations, and assumptions are appropriate for intended use while strengthening reliability, transparency, and governance in a