Quantitative Model Solutions Specialist

Wells Fargo is seeking a Quantitative Model Solutions Specialist.

• 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

• 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

• Bachelors 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.
• Good communication skills to be able to work with Global teams.

• Develop, execute and maintain automated test scripts, test plans and automation framework for data migration activities, ensuring data accuracy and completeness.
• Excellent analytical and problem-solving skills.
• Possess strong risk acumen and functional knowledge of procedures, risks, controls, compliance, testing, validation, assessment of findings, escalation, and reporting, while developing business acumen
• Partner with business partners to understand the environment and related initiatives to develop appropriate and complementary testing procedures.
• Work closely with finance/credit modelling teams to understand domain specific testing requirements and provide innovative solutions
• The successful candidate will be a team player and a self-starter who is accustomed to working in complex organizations, partnering with a diverse group of stakeholders, and achieving results.