About this role:
This position will cover researching, developing, testing, analyzing, monitoring, tool-building, and documentation of MCRM models.
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 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
Required Qualifications:
- 4+ 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 a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Desired Qualifications:
- 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 Master's degree.
- Strong analytical skills with Python programming and C++ programming expertise in model development, financial modeling knowledge in stochastic calculus and numerical computation in addition to stronganalytical/quantitativeproblem-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 while working effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability are important.
- Excellent verbal, written, and interpersonal communication skills.
- Capability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complexenvironment.
Posting Locations:
- 550 S. Tryon Street - Charlotte, North Carolina
Job Expectations:
- Required location listed above. Relocation assistance is not available for this position.
- This position currently offers a hybrid work schedule.
- This position is not eligible for VISA sponsorship.
- This position is subject to FINRA Background Screening Requirements, including successful completion and clearing of a background check. Internal transfers are subject to comply with 17 CFR 240.17f-2 of the Securities Exchange Act of 1934 and FINRA Bylaws, Article III, Section 3, which states that Associated Persons should not be subject to statutory disqualification. Successful candidates must also meet ongoing regulatory requirements including additional screening and are required to report certain incidents.
- Specific compliance policies may apply regarding outside activities and/or personalinvesting; affectedemployees will be expected to provide information to the Wells Fargo Personal Account Dealing Team and abide by applicable policy requirements if hired. Information will be shared about expectations during the recruitment process.
23 Sep 2025
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.