Vice President, Front Office Quant PFE Specialist

Wells Fargo Bank • Charlotte, NC

2d

About The Position

Wells Fargo is seeking a Vice President, Lead Securities Quantitative Analytics Specialist in Corporate & Investment Banking as part of Markets specifically in the Counterparty Risk Model Development team. Learn more about the career areas and lines of business at wellsfargojobs.com . The Counterparty Risk Model Development team responsible for developing and implementing quantitative models and tools for counterparty credit risk management, with a focus on Potential Future Exposure (PFE) forecasting, derivative pricing, optimization, and risk mitigation. This role supports a strategic initiative to build next‑generation models integrated into a holistic markets quantitative risk and trading platform. This opportunity will collaborate closely with Front Office Trading, Risk Oversight, Technology, and Model Governance functions to ensure business requirements are met and governance standards are upheld. Strong written and verbal communication skills are required to effectively socialize modeling approaches, communicate progress, and escalate issues requiring support. In this role, you will: Lead complex initiatives involving the creation, implementation, documentation, validation, and defense of counterparty credit risk models. Design, develop, and implement quantitative models for Potential Future Exposure (PFE) for OTC interest rate and foreign exchange products. Develop, integrate, and deploy optimization‑based curve construction and product pricing solutions in collaboration with other quantitative teams, contributing to methodology design, implementation, and performance optimization. Support model development activities related to counterparty credit stress testing and default loss estimation related to client and central clearing counterparty (CCP) portfolios. Communicate and collaborate effectively with business stakeholders, quantitative teams, technology partners, Model Risk Management, and project management to resolve issues and achieve objectives. Deliver high‑quality results while adhering to internal policies, procedures, and regulatory compliance requirements. Contribute to large‑scale project planning, balancing short‑term deliverables with long‑term strategic objectives. Apply expertise in stochastic modeling, structured securities, and spread analysis to propose and drive model development strategies, enabling informed decision‑making for products and business initiatives with broad impact.

Requirements

• 5+ years of Securities Quantitative Analytics experience, or equivalent demonstrated through a combination of work experience, training, military experience, or education.

Nice To Haves

• Ph.D. in mathematics, statistics, engineering, physics, finance, computer science, or a related quantitative field.
• 5+ years of quantitative model development experience.
• 3+ years of experience in capital markets modeling, particularly in Potential Future Exposure (PFE) or CVA modeling.
• Experience in counterparty default loss and CCP modeling is a plus.
• Strong derivatives modeling and implementation experience, especially in Rates or FX products.
• Solid foundation in financial mathematics, including stochastic calculus, Monte Carlo simulation, and numerical methods.
• Strong hands‑on programming skills in C++ and Python, with demonstrated experience in production‑quality model implementation.
• Delivery‑focused mindset with experience partnering closely with technology teams to deploy models within enterprise systems.
• Excellent verbal, written, and interpersonal communication skills, with the ability to collaborate effectively across functions.
• Proven ability to manage multiple projects, prioritize tasks, meet deadlines, and perform in a fast‑paced, change‑driven environment.
• Strong interest in financial markets and a practical, solution‑oriented approach to meeting business needs.

Responsibilities

• Lead complex initiatives involving the creation, implementation, documentation, validation, and defense of counterparty credit risk models.
• Design, develop, and implement quantitative models for Potential Future Exposure (PFE) for OTC interest rate and foreign exchange products.
• Develop, integrate, and deploy optimization‑based curve construction and product pricing solutions in collaboration with other quantitative teams, contributing to methodology design, implementation, and performance optimization.
• Support model development activities related to counterparty credit stress testing and default loss estimation related to client and central clearing counterparty (CCP) portfolios.
• Communicate and collaborate effectively with business stakeholders, quantitative teams, technology partners, Model Risk Management, and project management to resolve issues and achieve objectives.
• Deliver high‑quality results while adhering to internal policies, procedures, and regulatory compliance requirements.
• Contribute to large‑scale project planning, balancing short‑term deliverables with long‑term strategic objectives.
• Apply expertise in stochastic modeling, structured securities, and spread analysis to propose and drive model development strategies, enabling informed decision‑making for products and business initiatives with broad impact.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees