Senior Lead Analytic Consultant

Wells Fargo•Minneapolis, MN

1d•Hybrid

About The Position

About this role: Wells Fargo is seeking a driven, self-starting analytics professional to help lead modernization and transformation efforts that support growth and a strong control environment. In this hands-on individual contributor role, you will develop and operationalize data-driven detection strategies to identify and mitigate employee misconduct, employee-enabled fraud, and regulatory and reputational risks. You will partner across risk functions within Consumer Banking and Lending (CBL) to strengthen risk insight, enhance monitoring effectiveness, and support the delivery of products and services to customers. Strong analytical and programming skills, along with clear communication, are essential to turning complex challenges 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.

Requirements

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

Nice To Haves

Hands-on experience delivering end-to-end analytics solutions using Python and SAS, including 5+ years of Python development, with exposure to modern development practices such as reusable patterns, configuration-driven, and cloud-native approaches
Practical experience applying GenAI and AI-assisted or agentic tools (e.g., GitHub Copilot) to support analytics, automation, and scalable, repeatable monitoring solutions
Experience designing, building, testing, and automating production-ready analytics pipelines across large-scale datasets, including unstructured text and cloud-based environments such as GCP
Experience using modern development tools and languages, including Visual Studio Code with extension customization, TypeScript, and JavaScript
Demonstrated experience in risk detection, anomaly detection, or pattern identification within analytics or monitoring use cases
Strong written and verbal communication skills, with the ability to translate complex analytics and technical concepts into clear, actionable insights for stakeholders
Exposure to financial services, consumer banking, fraud, or compliance domains, or a proven ability to quickly learn and apply business context

Responsibilities

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
Provide technical expertise and direction to develop and deliver the innovative business solutions