Lead Quantitative Analytics Specialist- Market Risk Capital Model Architecture (GenAI/Python)

Wells Fargo Bank • Charlotte, NC

21h • Hybrid

About The Position

Wells Fargo is seeking a Lead Quantitative Analytics Specialist - Market Risk Capital Model Architecture (GenAI/Python) to fill an individual contributor role within the (MCRA) Market and Counterparty Risk Analytics Model Architecture team. This team acts as a subject matter expert to model owners for ensuring market risk policy compliance and advises on industry best practices, modeling methodologies, choices, and assumptions.

Requirements

• 5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

Nice To Haves

• PhD or master's degree in statistics, mathematics, physics, engineering, computer science, economics, or quantitative field
• Strong knowledge and understanding of Trading products and financial modeling
• Design and lead experiments for GenAI and Agentic AI use cases
• Advanced proficiency in Python, VS code, Github Copilot, and MCP
• Excellent verbal, written, and interpersonal communication skills
• Strong time management skills and ability to meet deadlines

Responsibilities

• Ensure Capital Model Regulatory Compliance
• Support and lead Assessment and Design of Modeling Requirements
• Assess key model risks and associated modeling impacts
• Use AI to build analytical tools for model owner support and risk analysis
• Support and lead model calibration operations

Benefits

• Wells Fargo is an equal opportunity employer.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior