Wells Fargo is seeking a Senior Quantitative Model Solutions Specialist.
In this role, you will:
- Lead or participate in moderately complex model maintenance and optimization initiatives related to operating processes, controls, reporting, testing, implementation, and documentation
- Review and analyze moderately complex data sets, quantitative models, and model outputs to validate model efficiency and results in support of business initiatives
- Advise and guide team on moderately complex model optimization and processes strategies
- Independently resolve moderately complex issues and lead team to meet project deliverables while leveraging solid understanding of policies and compliance requirements
- Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals
Required Qualifications:
- 4+ years of quantitative solutions engineering, model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- Bachelor’s degree in finance, statistics, computer science, Information Technology, or a related field with minimum of 4+ years of experience
- Experience in Finance/Credit/Banking Modelling with a strong understanding of industry specific SDLC processes
- Experience with Python/R or SAS and Excel
- Strong expertise in data engineering & analysis and ability to handle large volume of data efficiently.
- Demonstrated experience in Platform Migration/ Model Reengineering projects in finance sector.
- 4+ years of experience in data visualization tools like PowerBI/ Tableau/ Qlikview
- Proven experience in developing Automated Testing Frameworks in python using Pytest/Selenium.
- Good understanding of Database concepts, DB testing and writing SQL queries.
- Valuable communication skills to be able to work with Global teams.