Executive Director, Securities Quantitative Analytics Senior Manager - Head of Market Risk Analytics - Credit Products and XVA

Wells Fargo & Company • Charlotte, NC

7d

About The Position

Wells Fargo is seeking a Securities Quantitative Analytics Senior Manager, an Executive Director position, to fill the role within the Corporate & Investment Banking (CIB) Market and Counterparty Risk Model Development team. This position will cover researching, developing, implementing, testing, analyzing, monitoring, and documentation of market and counterparty risk management and regulatory capital models, with a focus on market risk modeling for credit products and XVA. Learn more about the career areas and lines of business at wellsfargojobs.com. In this role, you will: Design, develop, implement, and maintain various quantitative models for traded credit products and XVA for risk management and regulatory capital purposes Perform highly complex activities related to financial products, business analysis and modeling Perform basic statistical and mathematical models using Python, C++ and Java Perform analytical support and provide insights regarding a wide array of business initiatives Provide solutions to business needs and analyze workflow processes to make recommendations for process improvement in risk management Collaborate and consult with peers, colleagues, managers and regulators to resolve issues and achieve goals Establishing effective yet automated controls and creating consistent and robust execution processes across models Maintaining documentation for key implementation processes across the team with focus on standardization of implementation and execution controls Partnering with modeling team to understand model structure and limitation; performing model performance monitoring, creating and sharing regular reports with key stockholders

Requirements

• 7+ years of Securities Quantitative Analytic experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years of management or leadership experience

Nice To Haves

• PhD degree or equivalent in statistics, mathematics, physics, engineering, computer science, economics, finance or quantitative field.
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
• Experience managing a quantitative team of direct reports, with full accountability for performance, delivery, and execution of analytical initiatives.
• Extensive experience in traded credit products and XVA pricing and market risk model development, implementation, testing, documentation, validation, and maintenance.
• Extensive hands-on coding experience, with Python, C++ and Java.
• Solid knowledge of regulatory capital requirements for market risk, e.g. Basel 2.5 and FRTB.
• Strong financial modeling knowledge in financial mathematics, particularly in stochastic calculus and numerical methods.
• Delivery focused with extensive experience partnering with technology to deploy models in the system.
• Ability to work on multiple projects and effectively organize tasks, manage time, set priorities, work under pressure, meet deadlines, and deliver results with speed and agility.
• Strong interest in financial markets and willingness to provide practical solutions for the business stakeholders.
• Demonstrated experience in successfully collaborating with others in a change driven and dynamic environment and across all organizational levels, where flexibility, collaboration, and adaptability are important.

Responsibilities

• Design, develop, implement, and maintain various quantitative models for traded credit products and XVA for risk management and regulatory capital purposes
• Perform highly complex activities related to financial products, business analysis and modeling
• Perform basic statistical and mathematical models using Python, C++ and Java
• Perform analytical support and provide insights regarding a wide array of business initiatives
• Provide solutions to business needs and analyze workflow processes to make recommendations for process improvement in risk management
• Collaborate and consult with peers, colleagues, managers and regulators to resolve issues and achieve goals
• Establishing effective yet automated controls and creating consistent and robust execution processes across models
• Maintaining documentation for key implementation processes across the team with focus on standardization of implementation and execution controls
• Partnering with modeling team to understand model structure and limitation; performing model performance monitoring, creating and sharing regular reports with key stockholders

What This Job Offers

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