Technology Risk Specialist | Technology Risk Management
About The Position
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.
Requirements
- 2+ years of Technology Risk experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
- 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.
Nice To Haves
- Software Engineer / Developer / Data Scientist.
Responsibilities
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
