Quantitative Analytics Specialist

Wells Fargo • Charlotte, NC

1d • Onsite

About The Position

About this role: Wells Fargo is seeking a Quantitative Analytics Specialist to fill the role within the Market and Counterparty Risk Analytics group (MCRA) team. This position will cover testing, analyzing, monitoring, tool-building for Market Risk and Counterparty Risk models. In this role, you will: Maintain and enhance back-testing methodology as well as other metrics to assess ongoing model performance for Market Risk and Counterparty Risk models Develop infrastructures for ongoing model performance monitoring Perform analytical support and provide insights regarding a wide array of business initiatives 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 Partnering with modeling team to understand model structure and limitation; performing model performance monitoring, creating and sharing regular reports with key stockholders

Requirements

• 2+ 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 statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline

Nice To Haves

• 4+ years in Quantitative Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• PhD in statistics, mathematics, physics, engineering, computer science, economics, or quantitative field; or a Masters degree
• Strong analytical skills with Python programming and C++ programming expertise in model development.
• Strong financial modeling knowledge in stochastic calculus and numerical computation
• Strong analytical/quantitative problem-solving skills
• Knowledge and understanding of financial products and financial modeling
• Knowledge and understanding of machine learning or AI models
• Strong time management skills and ability to meet deadlines
• Ability to deliver results with speed and agility
• Ability to work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability are important
• Excellent verbal, written, and interpersonal communication skills
• Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment

Responsibilities

• Maintain and enhance back-testing methodology as well as other metrics to assess ongoing model performance for Market Risk and Counterparty Risk models
• Develop infrastructures for ongoing model performance monitoring
• Perform analytical support and provide insights regarding a wide array of business initiatives
• 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
• 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: Mid Level
• Number of Employees: 5,001-10,000 employees