Senior Lead Analytics Consultant

About This Role

Wells Fargo is seeking an independent and self-starting analytics professional who will focus on data engineering, modeling, and AI deployment to enable identification and mitigation of current and emerging risks, including employee misconduct, employee-enabled fraud, regulatory, and reputational risks. This is an exciting opportunity to play a key role in the transformation of our analytics team as we move into an AI-assisted analytics environment. In this hands-on individual contributor role, you will acquire, model and prepare data used to operationalize data-driven detection strategies and will take AI/machine learning solutions from prototype to production. This position within Consumer Banking and Lending (CBL) will be required to partner across risk functions to provide operational support that helps deliver products and services to customers.

Required Qualifications

• 7+ years of Analytics, Reporting, Financial Modeling or Statistics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Proficiency in Python for data analysis, machine learning, and production-grade development
• Experience taking AI/ML systems from prototype to production, including monitoring and lifecycle management
• Practical experience applying GenAI and AI assisted or agentic tools (e.g., GitHub Copilot) for analytics or automation and to establish scalable, repeatable monitoring solutions
• Familiarity with data acquisition, modeling, and preparation for analytics and machine learning workflows
• Familiarity with data quality practices, schema design, metadata management, and documentation standards
• Ability to guide teams on data cleaning, validation, and exploratory analysis
• Practical experience with model selection, training, evaluation, and iteration
• Familiarity with model evaluation techniques, including designing custom evaluation approaches when standard metrics are insufficient
• Experience analyzing unstructured and large-scale datasets with complex processing requirements
• Demonstrated risk detection or anomaly and pattern identification experience in analytics or monitoring use cases
• Familiarity with modern development practices (e.g., reusable patterns, configuration driven or cloud native approaches)
• Experience building, testing, and automating production ready analytics pipelines
• Strong written and verbal communication skills, with the ability to translate complex analytics into clear, actionable insights
• Comfortable working in fast-paced, exploratory environments typical of proof of concept and innovation work

Desired Qualifications

• Proficiency in Python for data analysis, machine learning, and production-grade development
• Experience taking AI/ML systems from prototype to production, including monitoring and lifecycle management
• Practical experience applying GenAI and AI assisted or agentic tools (e.g., GitHub Copilot) for analytics or automation and to establish scalable, repeatable monitoring solutions
• Familiarity with data acquisition, modeling, and preparation for analytics and machine learning workflows
• Familiarity with data quality practices, schema design, metadata management, and documentation standards
• Ability to guide teams on data cleaning, validation, and exploratory analysis
• Practical experience with model selection, training, evaluation, and iteration
• Familiarity with model evaluation techniques, including designing custom evaluation approaches when standard metrics are insufficient
• Experience analyzing unstructured and large-scale datasets with complex processing requirements
• Demonstrated risk detection or anomaly and pattern identification experience in analytics or monitoring use cases
• Familiarity with modern development practices (e.g., reusable patterns, configuration driven or cloud native approaches)
• Experience building, testing, and automating production ready analytics pipelines
• Strong written and verbal communication skills, with the ability to translate complex analytics into clear, actionable insights
• Comfortable working in fast-paced, exploratory environments typical of proof of concept and innovation work

Job Expectations

• This position offers a hybrid work schedule.
• This position is not eligible for Visa sponsorship.

Pay Range

$139,000.00 - $239,000.00

Benefits

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement

Posting End Date

16 Jul 2026