\\\\About this role:\\\\ Wells Fargo is seeking a \\\\Lead Risk Analytics Consultant/GCP Engineer\\\\ to support the Model Risk Management (MRM) organization as part of the \\\\Model Computing and Governance Platform team\\\\ . This role is \\\\highly technical\\\\ and requires strong handson experience with \\\\cloud engineering, platform migration, and productionlevel python coding\\\\ to support model validation, governance, and analytics platforms. The successful candidate will join a highvisibility team responsible for building, maintaining, and enhancing the technology platforms enabling Model Risk Management (MRM) and Model Development Centers of Excellence. This role requires the ability to work directly on \\\\Google Cloud Platform (GCP)\\\\ and \\\\OpenShift\\\\ , \\\\write or rewrite python code\\\\ , and \\\\support platform migrations\\\\ while ensuring system reliability, data integrity, and operational excellence. Professional presence, strong communication, and excellent documentation skills are essential for collaborating across MRM, model governance, audit, infrastructure, and engineering partners. \\\\In this role, you will:\\\\ \\\\Cloud Engineering & Platform Work\\\\ \\+ Demonstrate working proficiency on distributed systems and cloud platforms (GCP) and data storage solutions. \\+ Participate in \\\\cloud migration initiatives\\\\ , including modernizing existing code, performance optimization, and addressing compatibility issues. \\+ Collaborate with GCP and OpenShift infrastructure teams to diagnose and resolve platformlevel incidents or resource issues. \\\\Operational & Production Responsibilities\\\\ \\+ Oversee production processes, including \\\\data reconciliation, pipeline reliability\\\\ , and creation of clear, comprehensive documentation. \\+ Maintain and enhance \\\\observability tooling\\\\ to ensure platform stability and fast issue detection. \\\\Development & Automation\\\\ \\+ Build and maintain automation using \\\\Python, R, SQL, Pandas, PySpark\\\\ , or similar tools to support model validation and governance workflows. \\+ Demonstrate proficiency with Docker and Kubernetes concerts (e.g., pods, deployments, services, and images) \\+ Support and integrate \\\\EPLX\\\\ or similar enterprise platforms into the broader model risk ecosystem. \\\\Collaboration & Leadership\\\\ \\+ Partner with crossfunctional teams across the enterprise to address modeling, production, and operational issues. \\+ Lead or contribute to projects that support common model risk management strategies. \\+ Provide mentorship and guidance to junior team members. \\+ Participate in incident triage, perform diagnostics, contribute to \\\\rootcause analysis\\\\ , and implement corrective or preventative solutions. \\\\Required Qualifications:\\\\ \\+ 5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education \\\\Desired Qualifications:\\\\ \\+ Strong \\\\hands-on experience with Google Cloud Platform (GCP)\\\\ components: Compute, IAM, Storage, Networking, Monitoring highly preferred \\+ Experience in \\\\AWS or Google Cloud Platform (GCP)\\\\ is acceptable. Candidates with strong AWS backgrounds will be supported and trained to ramp up in GCP. \\+ Experience \\\\performing python code remediation\\\\ and modernization during cloud migration efforts, including updating dependencies, restructuring pipelines, and containerizing workloads is highly desired. \\+ Demonstrated experience developing \\\\python code\\\\ directly within cloud environments ( \\\\GCP and OpenShift\\\\ ), including during platform migrations. \\+ Experience with \\\\Kubernetes and container orchestration\\\\ is expected. \\+ Experience with Red Hat OpenShift is a nice to have, and engineers without OpenShift background will be supported in learning it on the job. \\+ Proven ability to work inside containerized platforms (pods, operators, CI/CD pipelines) to modify or rebuild application components and automation scripts. \\+ Ability to directly \\\\troubleshoot and resolve code\\\\ level issues that surface during GCP or OpenShift migration, deployment, or workload scaling. \\+ Proven ability to enter cloud environments and write or re write code, especially during platform modernization or migration efforts. \\+ Ability to build, refactor, or optimize code used in production environments and model workflows. Ability to troubleshoot and resolve code level issues arising during cloud deployment, migration, or scaling, including real time diagnostics within GCP or OpenShift consoles. \\+ Experience with deployment pipelines (CI/CD) GitHub, Jenkins, docker, deploying on OpenShift \\\\Job Expectations:\\\\ \\+ Ability to travel up to 15% of the time. \\+ This position offers a hybrid work schedule. \\+ Willingness to work onsite at stated location on the job posting. \\\\Job Locations:\\\\ \\+ 401 S Tryon Street, Charlotte, NC \\+ 600 S 4th Street, Minneapolis, MN \\+ Las Colinas Bldg B, Irving Campus, IRVING, TX \\+ West Des Moines Campus, 800 S Jordan Creek Pkwy, WEST DES MOINES, IA \\+ D Building,114N Beaumont St -D Bldg., SAINT LOUIS, MO \\+ 1150 W Washington, TEMPE, AZ \\\\Pay Range\\\\ Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $119,000.00 - $206,000.00 \\\\Benefits\\\\ Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs () for an overview of the following benefit plans and programs offered to employees. \\+ Health benefits \\+ 401(k) Plan \\+ Paid time off \\+ Disability benefits \\+ Life insurance, critical illness insurance, and accident insurance \\+ Parental leave \\+ Critical caregiving leave \\+ Discounts and savings \\+ Commuter benefits \\+ Tuition reimbursement \\+ Scholarships for dependent children \\+ Adoption reimbursement \\\\Posting End Date:\\\\ 3 Apr 2026 \\\\\\\\\\\\\\\ \\\\*\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 units 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. \\\\Req Number:\\\\ R-532976

The role requires at least 5 years of Risk Analytics experience, or equivalent demonstrated through work experience, training, military experience, or education. Strong hands-on experience with Google Cloud Platform (GCP) components is highly preferred, though experience in AWS or GCP is acceptable. Experience performing Python code remediation and modernization during cloud migration efforts is highly desired. Demonstrated experience developing Python code directly within cloud environments like GCP and OpenShift is expected. Proficiency with Kubernetes and container orchestration is also a requirement.