Quantitative Model Solutions Specialist

About the role

Wells Fargo is seeking a Quantitative Model Solutions Specialist in Bengaluru, India, to support quantitative model operations and optimization initiatives. Day-to-day work includes maintaining and optimizing low-to-moderately complex models, analyzing datasets and model outputs, developing automated test scripts and frameworks for data migration, and collaborating with finance/credit modelling teams and global stakeholders. The role emphasizes risk acumen, controls, compliance, testing, validation, and reporting while presenting recommendations to leadership.

What you’ll do

• Participate in or help entry-level positions with low to moderately complex model maintenance and optimization initiatives related to operational processes, controls, reporting, testing, implementatio
• 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
• Develop, execute and maintain automated test scripts, test plans and automation framework for data migration activities, ensuring 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

• 2+ years of quantitative model solutions or quantitative model operations experience, or equivalent demonstrated through work experience, training, military experience, or education
• 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

Skills

Education

Bachelor’s degree in finance, statistics, computer science, Information Technology, or a related field with minimum of 2+ years of experience