PAY RANGE

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.
$96,600.00 - $188,900.00

APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

WELLS FARGO RECRUITMENT AND HIRING REQUIREMENTS:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process

Required Qualifications:

• 2+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Master’s degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative disciplin

Desired skills:

• Design, train, and deploy supervised and unsupervised machine learning and deep learning models in a Unix based GPU environment using python (pytorch, transformers, BertTopic, unsloth, langgraph, langchain, etc..) to drive scalable solution development.
• Develop and advise on Large Language Model (LLM) solutions including RAG, and SFT.
• Extensive knowledge of github operations for project versioning, code development, and project management.
• Write clean, well-commented code for easy collaboration and maintain structured project documentation using GitHub and/or Jira.
• Technical model documentation experience (Model development documentation)
• Develop, implement, and calibrate various analytical models
• Perform highly complex activities related to financial products, business analysis and modeling
• Perform basic statistical and mathematical models using Python, R, SAS, C++ and SQL
• Perform analytical support and provide insights regarding a wide array of business initiatives
• Provide solutions to business needs and analyze workflow processes to make recommendations for process improvement in risk management
• Collaborate and consult with peers, colleagues, managers, and regulators to resolve issues and achieve goal

ABOUT THIS ROLE:

Wells Fargo is seeking a highly technical individual contributor who is adept at advanced AI/ML algorithms and their applications in financial institutions to join our AI/ML Center of Excellence in Internal Audit. The individual must have a strong data science / computer engineering background and must be skilled in designing and deploying Machine Learning models using Python based frameworks. The team plays a critical role in providing internal audit with Artificial Intelligence Models across various business areas, such as Fraud, Credit Risk and Bank Operations.

IN THIS ROLE, YOU WILL:

As a Quantitative Analytics Specialist (QAS) you will play a crucial role in the development and maintenance of our data science and business intelligence solutions. This role will specialize in assisting with machine learning, deep learning, and generative AI initiatives that will be utilized by internal audit leaders to enhance and expedite decision-making and drive automation. You will provide expertise within and across business teams, demonstrate the ability to work independently, and apply problem-solving skills to resolve complex issues. Lead and participate in defining and transforming data science solution requirements into quantifiable solutions. Independently carry out tasks, using critical thinking and problem-solving skills to devise effective solutions.

Required Qualifications:

• 2+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Master’s degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline

Desired skills:

• Design, train, and deploy supervised and unsupervised machine learning and deep learning models in a Unix based GPU environment using python (pytorch, transformers, BertTopic, unsloth, langgraph, langchain, etc..) to drive scalable solution development.
• Develop and advise on Large Language Model (LLM) solutions including RAG, and SFT.
• Extensive knowledge of github operations for project versioning, code development, and project management.
• Write clean, well-commented code for easy collaboration and maintain structured project documentation using GitHub and/or Jira.
• Technical model documentation experience (Model development documentation)
• Develop, implement, and calibrate various analytical models
• Perform highly complex activities related to financial products, business analysis and modeling
• Perform basic statistical and mathematical models using Python, R, SAS, C++ and SQL
• Perform analytical support and provide insights regarding a wide array of business initiatives
• Provide solutions to business needs and analyze workflow processes to make recommendations for process improvement in risk management
• Collaborate and consult with peers, colleagues, managers, and regulators to resolve issues and achieve goals

Job Expectations:

• Hybrid work schedule
• This position does not offer Visa sponsorship.