About this role:

Wells Fargo is seeking an independent and self-starting analytics professional who will focus on data engineering, modeling, advanced analytics, and production 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 expand the use of AI-assisted development and modern analytics capabilities.

In this hands-on individual contributor role, you will acquire, model, and prepare data used to operationalize data-driven detection strategies and will take analytics and 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 advanced Python skills, SAS coding experience, fluency in AI-assisted development, strong data engineering and analytical capabilities, and excellent communication skills to translate complex real-world problems into practical, scalable solutions.

Are you looking for more? Find it here. At Wells Fargo, we believe that a meaningful career is much more than just a job. It’s about finding all the elements that help you thrive, in one place. #LivingTheWellLife means you’re supported in life, not just work. It means having a competitive salary, a robust benefits package, and programs to support your work-life balance and well-being. It means being rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. And we’re recognized for it! Wells Fargo ranked in the top three on the 2024 LinkedIn Top Companies List of best workplaces “to grow your career” in the U.S. Learn more about the career areas and business divisions at wellsfargojobs.com.

In this role, you will:

• Act as a subject matter expert in applying advanced analytics, machine learning, natural language processing, and other AI techniques to identify employee misconduct, employee-enabled fraud, and related conduct risks.
• Independently design, develop, test, and operationalize end-to-end analytics and AI/ML solutions using structured and unstructured data sources, including emails and coaching notes.
• Lead complex data acquisition, engineering, modeling, and preparation activities required to move analytics and AI/ML risk detection solutions from prototype to production.
• Establish reusable methodologies, frameworks, coding standards, and development patterns in Python and SAS that enable scalable adoption of analytics across Front Line Monitoring (FLM) and broader business operations.
• Evaluate emerging AI and analytics technologies and apply advanced judgment to select practical, scalable approaches for highly complex monitoring and risk detection needs; fluently use AI-assisted development tools to accelerate coding, testing, documentation, and solution refinement while maintaining appropriate human review and controls.
• Analyze sensitive, large-scale data to identify emerging patterns, anomalies, and risk signals, and translate complex analytical findings into clear, actionable insights for business and risk management stakeholders.
• Provide technical leadership and expert guidance to senior leaders, analytics teams, and cross-functional partners while coordinating highly complex activities across the enterprise.
• Ensure solutions comply with applicable legal, regulatory, data governance, model risk, information security, and enterprise policy requirements.

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:

• Advanced proficiency in Python for data engineering, analytics, machine learning, automation, testing, and production-grade development.
• Strong SAS coding skills, including experience developing, validating, and maintaining data preparation, analysis, and reporting workflows in a production environment.
• Demonstrated experience designing and implementing advanced analytics, machine learning, natural language processing, or generative AI solutions using large-scale structured and unstructured data.
• Experience with data acquisition, integration, modeling, and preparation for complex analytics and machine learning workflows.
• Experience identifying risk, anomalies, or behavioral patterns through analytics, preferably in monitoring, financial services, compliance, or risk management use cases.
• Ability to design fit-for-purpose model evaluation approaches, including custom evaluation methods when standard metrics are insufficient.
• Experience building reusable frameworks, standards, and automated production pipelines that support scalable and repeatable analytics solutions.
• Familiarity with data quality, schema design, metadata management, data governance, documentation, and controls for sensitive data.
• Fluency in applying generative AI and AI-assisted development tools, such as GitHub Copilot, throughout the development lifecycle to accelerate coding, debugging, testing, documentation, and automation.
• Demonstrated ability to independently lead highly complex technical work, evaluate emerging technologies, and influence analytics practices beyond a single project or team.
• Strong written and verbal communication skills, with the ability to translate complex analytical findings into practical risk insights and recommendations for senior business and risk stakeholders.
• Ability to work effectively in fast-paced, exploratory environments while balancing innovation, production rigor, and regulatory and policy requirements.

Job Expectations:

• This position offers a hybrid work schedule.
• 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
• 401 Las Colinas Blvd Bldg B - Irving, Texas 75039
• 800 S Jordan Creek Pkwy - West Des Moines, Iowa 50266
• 4101 Wiseman Blvd Bldg 203 - San Antonio, Texas 78251

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.

Pay Range
 

Posting End Date:

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

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

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

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.