About this role:
Wells Fargo is seeking a Quantitative Model Solutions Specialist
In this role, you will:
Participate in or help entry-level positions with low to moderately complex model maintenance and optimization initiatives related to operational processes, controls, reporting, testing, implementation, and documentation
Analyze basic data sets, quantitative models, and model output to validate model efficiency and results in support of business opportunities
Provide design thinking and best practices to resolve basic model optimization methodology and processes
Present recommendations to leadership for resolving low to moderately complex situations by exercising independent judgment while developing expertise in quantitative model operations
Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals
Required Qualifications:
2+ years of quantitative 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 2+ 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.
2+ 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.
Job Expectations:
The successful candidate will be a team playe