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Full-time
Posted 6d ago
Apply by Aug 17
~40 hrs/week
Responsibilities
The role involves driving risk oversight through AI, data, and advanced analytics to identify emerging risks and improve operational efficiency. You will build scalable automation frameworks and support AI governance initiatives across the enterprise.
Requirements
Candidates must have at least 2 years of technology risk experience or equivalent training. Proficiency in Python, SQL, and experience with Generative AI and agentic workflows are highly desired.
Full job description
About this role:
Join Wells Fargo’s AI and Data Shared Services team within Technology Risk Management, where you will help drive the bank’s next generation of risk oversight through AI, data, and advanced analytics. This team operates at the intersection of risk, technology, and data, delivering capabilities that enable early identification of unknown risks, improve operational efficiency, and support enterprise-wide decision making. By combining AI services, data centralization, and consulting expertise, the organization builds scalable solutions such as automation, reporting, and prompt-driven analytics to strengthen risk management outcomes and accelerate adoption across Corporate Risk functions. The role offers the opportunity to work on high-impact initiatives, including AI governance, data integration, and automation frameworks, while contributing to a rapidly evolving platform designed to enhance productivity and provide broader, data-driven insight across the enterprise.
In this role, you will:
Help drive next-generation risk oversight by applying AI, data, and advanced analytics across Corporate Risk.
Support the identification of emerging and unknown risks through the use of data-driven insights and AI capabilities.
Contribute to building scalable solutions including automation, reporting, and prompt-based analytics.
Partner across risk, technology, and data teams to improve operational efficiency and decision making.
Support AI governance initiatives and ensure responsible and effective use of AI within risk management.
Work on integrating and centralizing data to enable consistent, enterprise-wide analysis.
Help design and implement automation frameworks that increase productivity and reduce manual effort.
Contribute to expanding data-driven capabilities that enhance visibility and oversight across the enterprise.
Support the adoption of AI and data solutions across Corporate Risk functions.
Help evolve a rapidly growing platform that enables scalable, efficient, and insight-driven risk management.
Required Qualifications:
2+ years of Technology Risk experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
Desired Qualifications:
Software Engineer / Developer / Data Scientist.
Expertise in multiple programming language including (Python, SQL).
Experience with Generative AI, RAG pipelines, and agentic AI systems.
Practical experience in using LLMs, prompt engineering, vector databases, and orchestration.
Full stack developer with the ability to establish agentic ai workloads using frameworks such as LangGraph, Crew AI, Microsoft AutoGen, LangChain, Chainlit.
Expertise in using AI endpoints to run agentic workflows with tools such as Gemini, Claude, ChatGPT.
Excellent verbal, written and interpersonal communication skills.
Ability to present data insights in a clear, concise, and compelling manner to various stakeholders.
Strong analytical skills with high attention to detail and accuracy.
Ability to interact with all levels of an organization.
Ability to present complex material in a digestible, consumable manner to all levels of management.
Broad knowledge of technology risks and the issues faced by financial institutions today.
Proven experience with managing technology risk issues.
Experience developing risk metrics and trending reports.
Ability to synthesize data from a variety of sources and deliver results quickly.
Work Locations:
401 S Tryon St – Charlotte, North Carolina
Job Expectations:
Required location(s) listed above.
Relocation assistance is not available for this position.
This position currently offers a hybrid work schedule.
This position is not eligible for VISA sponsorship.
Posting End Date:
16 Aug 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 unit’s risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Offices: 420 Montgomery St, San Francisco, California 94103, US · 420 Montgomery St, San Francisco, CA 94163, US · Outer Ring Road, Bengaluru, Karnataka 560103, IN · 1 Queen's Rd E, Wan Chai, Hong Kong, HK
Business BankingWholesale bankingMortgageConsumer Financeand Commercial FinanceFinanceBusiness DevelopmentAgricultureAsset ManagementFinTech
Offices: 420 Montgomery St, San Francisco, California 94103, US · 420 Montgomery St, San Francisco, CA 94163, US · Outer Ring Road, Bengaluru, Karnataka 560103, IN · 1 Queen's Rd E, Wan Chai, Hong Kong, HK
Business BankingWholesale bankingMortgageConsumer Financeand Commercial FinanceFinanceBusiness DevelopmentAgricultureAsset ManagementFinTech