Quantitative Analytics Specialist - Corporate & Investment Banking

About this role:

Wells Fargo is seeking a Quantitative Analytics Specialist to fill the role within the Market & Counterparty Risk Management (MCRA) team as part of Corporate Risk. This position will cover researching, developing, testing, analyzing, monitoring, tool-building, and documentation of MCRM models.

Learn more about the career areas and lines of business at wellsfargojobs.com .

In this role, you will:

• Develop, implement, and calibrate various analytical models for risk management
• Perform highly complex activities related to financial products, business analysis and modeling
• Perform basic statistical and mathematical models using Python, C++ and SQL
• Perform analytical support and provide insights regarding a wide array of business initiatives
• Provide solutions to business needs and analyze work flow 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

• 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

• 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
• 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

• This position offers a hybrid work schedule.
• Willingness to work on-site at stated location on the job opening.