Description

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.
• Specific compliance policies may apply regarding outside activities or personal investing; affected employees will be expected to provide information to the Wells Fargo Personal Account Dealing Team and abide by applicable policy requirements if hired. Information will be shared about expectations during the recruitment process.

Key Skills

Education

Any Graduate