Senior Quantitative Model Solutions Specialist

About the role

Wells Fargo is seeking a Senior Quantitative Model Solutions Specialist in Hyderabad, India. The role leads moderately complex model maintenance, optimization, validation, and automated testing initiatives for quantitative and finance/credit models while advising teams on process strategies and ensuring compliance. Day-to-day work includes analyzing large data sets and model outputs, developing automated test scripts and frameworks for data migration, collaborating with global and finance/credit modeling teams, and resolving issues within risk and compliance requirements.

What you’ll do

• 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 the team on moderately complex model optimization and process strategies
• Independently resolve moderately complex issues and lead the team to meet project deliverables while leveraging a solid understanding of policies and compliance requirements
• Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals
• Develop, execute, and maintain automated test scripts, test plans, and automation frameworks for data migration activities to ensure data accuracy and completeness
• 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

What you’ll bring

• 4+ years of quantitative solutions engineering, model solutions, or quantitative model operations experience (or equivalent combination of work, training, military, or education)
• 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

Skills

Education

Bachelor’s degree in finance, statistics, computer science, Information Technology, or a related field with minimum of 4+ years of experience