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. Successful candidates bring strong data engineering, programming and analytical skills, paired with excellent communication, to translate complex real-world problems into practical, scalable solutions.
In this role, you will:
Act as an advisor to senior leadership to develop or influence analytical strategies for highly complex business and technical needs
Lead the strategy and resolution of highly complex and unique challenges requiring analytical application of industry techniques and advanced data from multiple sources across the enterprise
Deliver solutions that are long-term, large-scale, and require vision, innovation, and coordination of highly complex activities
Provide vision, direction, and expertise to senior leadership on implementing innovative and significant business solutions that align to the enterprise
Ensure adherence to compliance and legal regulations and policies on all projects managed
Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
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
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.
Experience 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 is not eligible for Visa sponsorship.
Posting Locations:
401 S Tryon St - Charlotte, North Carolina 28202
2700 S Price Rd - Chandler, Arizona 85286
550 S 4th St - Minneapolis, Minnesota 55415
4014 Las Colinas Blvd Bldg B - Irving, Texas 75039
800 S Jordan Creek Pkwy - West Des Moines, Iowa 50266
Required locations listed above.
Salary range is determined by location of the job. May be considered for a discretionary bonus.
Please note: Job posting may come down early due to volume of applicants.
