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, 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  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. #Living The Well Life  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 Linked In Top Companies List of best workplaces “to grow your career” in the U.S. Learn more about the career areas and business divisions at  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…