GenAI & AI/ML Model Validation Lead

Citibank (Switzerland) AG; Wilmington, Northern (DE, KY); Hybrid; USD 173,000 - 174,000; Full time

Job summary

Citibank, N.A. seeks a Model Validation 2nd LOD Lead Analyst in Wilmington, DE to provide independent review and challenge of Generative AI/ML objects across their lifecycle, including initial review and ongoing monitoring.

You will communicate findings to owners and senior management and collaborate with developers and risk teams. The role emphasizes building NLP/GenAI validation tooling, mentoring junior validators, and driving efficient validation practices.

Qualifications

• Master's degree in Statistics, Mathematics, Finance, or related field.
• 3 years of experience in model analysis/validation for financial services.
• Experience with AI/ML models including GenAI and NLP.
• Strong data analysis, statistical methods, and regulatory reporting.

Responsibilities

• Provide independent review and challenge on Generative AI/ML models across lifecycle.
• Lead collaboration with model development, risk governance, and business units.
• Develop NLP/GenAI applications to automate validation workflows.
• Prepare comprehensive technical documentation meeting regulatory standards.
• Mentor junior validators and improve validation processes.

Skills

Model Risk Management

Artificial Intelligence

Machine Learning

Natural Language Processing

Regulatory Communication

Cross-functional Collaboration

Stakeholder Engagement

Python

R

SQL

PyTorch

TensorFlow

Azure ML

Spark

Unsupervised Learning

Risk Governance

Hypothesis Testing

Back-Testing

Education

Master's degree in Statistics/Mathematics/Finance

Foreign equivalent accepted

Bachelor's degree in listed fields

Tools

Python

R

SQL

PyTorch

TensorFlow

Databricks

MLflow

LangChain

Vertex AI

HuggingFace

Spark

Azure ML

Job description

Citibank, N.A. seeks a Model Validation 2nd LOD Lead Analyst in Wilmington, DE to provide independent review and challenge of Generative AI/ML objects across their lifecycle, including initial review and ongoing monitoring.

You will communicate findings to owners and senior management and collaborate with developers and risk teams. The role emphasizes building NLP/GenAI validation tooling, mentoring junior validators, and driving efficient validation practices.