Wells Fargo Senior Quantitative Model Solutions Specialist 

India, Telangana, Hyderabad 

112107957

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:

• Overall experience around 4 to 10 years in similar role

• Bachelor’s degree or higher in a quantitative field such as Computer Science, Appliedmathematics, engineering,statistics, finance or econometrics from top tier institutes

• Strong problem solving skills

• 4+ years of experience in credit risk analytics with exposure to statistical and machine learning model development, implementation or ML Ops

• 4+ years Data engineer- Oracle, Teradata, Hadoop, SQL

• 2+ years of advanced programming expertise in SAS

• 4+ years of advanced programming and debugging skills in Python – OOP, packaging, build and deployment, data structures and algorithms, decorators, logging, exception handling, JIT compilers

• 2+ years of experience in High performance computing, Big Data and real time solutions – PySpark, MapR streaming, parallel processing, real time optimization.

• 2+ years of experience in unit testing, UAT testing, regression testing and code review

• Comfortable with Git, GitHub, CI/CD pipelines and UNIX commands

• Excellent verbal, written, and interpersonal communication skills

• Strong ability to develop partnerships and collaborate with other business and functional areas

• Knowledge and understanding of issues or change management processes

• Experience determining root cause analysis

• Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities

• Understanding of bank regulatory data sets and other industry data sources

• Ability to research and report on a variety of issues using problem solving skills

• Exposure to banking domain in Credit Risk area on Retail/Commercial portfolio

• Perform various complex activities related to predictive modeling process enhancements and Python conversions

• Provide engineering and analytical solutions across model development, implementation, monitoring and production in a Big Data environment

• Support implementation of python based solutions for real time and/or batch based Machine Learning scorecard models for consumer and commercial banking

• Identify opportunities and deliver process improvements, standardization, rationalization and automations

26 Mar 2025

Wells Fargo Recruitment and Hiring Requirements:

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.