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The Corporate & Investment Bank (CIB) delivers a comprehensive suite of banking, capital markets and advisory solutions, including a full complement of sales, trading and research capabilities, to corporate, government and institutional clients. We focus on our clients' overall financial needs, with consideration and respect for their total relationship with Wells Fargo. Markets provides solutions to clients with the means to manage their exposure through various derivatives, lending and cash products across Structured Products Group, Macro, Equities, Municipal Products Group, Credit Sales & Trading. 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. 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.
Job Responsibility:
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
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
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
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