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Wells Fargo is seeking a Senior Software Engineer to support our COO Technology Group. This role is part of a high-impact team focused on protecting the organization through the implementation of advanced analytics and intelligent risk monitoring. You’ll work at the intersection of data, technology, and business, to surface insights that strengthen internal operational risk oversight. The team builds and supports modern applications that leverage SAS and AI-driven analytics to proactively identify and monitor internal risk across CSBB and Consumer Lending. Technology professionals are embedded directly with Frontline Monitoring partners, working in a true product model as part of mature Agile teams. This creates a highly collaborative environment where your work has clear visibility, real-world impact, and a direct connection to business outcomes. If you’re motivated by solving meaningful problems, partnering closely with the business, and applying analytics at scale to drive smarter risk decisions, this role offers the opportunity to do just that.
Job Responsibility:
Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
Requirements:
4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of experience in SAS programming, including supporting, analyzing, and modernizing enterprise SAS (Base SAS, SQL, Macros, batch processing)
4+ years of experience in creating production‑ready Python solutions (pandas, PySpark, SQL)
3+ years of hands-on experience with Google Cloud Platform (GCP) or Azure
Nice to have:
1+ years of practical knowledge of AI/LLMs, including prompt engineering, output validation, and governed enterprise usage
What we offer:
Relocation assistance is not available for this position