Senior Risk Analytics Consultant

Wells Fargo is seeking a Senior Risk Analytics Consultant to join the Model Risk Management (MRM) organization. This role is aligned with the Model Computing and Governance Platform team, which provides technology, analytics, automation, and reporting solutions supporting MRM validation and governance activities, as well as Model Development Centers of Excellence.

The successful candidate will be part of a high-performing team and will work closely with stakeholders across Model Risk Management, Lines of Business, model governance, validation, oversight, and audit. The role requires strong analytical, problem-solving, documentation, and communication skills, with an emphasis on using automation and AI capabilities to improve business processes, reporting, and operational efficiency.

• Support moderately complex risk analytics, automation, reporting, and process improvement initiatives supporting Model Risk Management and broader Enterprise Risk Management processes.
• Design, develop, and maintain automation solutions using Python, SQL, UI automation, and Airflow to streamline manual processes, improve efficiency, and strengthen process controls.
• Leverage AI capabilities to support coding, solution development, analysis, documentation, and business process automation, while adhering to applicable governance and risk requirements.
• Analyze business and operational processes to identify opportunities for automation, simplification, and improved controls.
• Develop automated workflows for data extraction, transformation, reconciliation, validation, and reporting.
• Support the development and enhancement of management reporting, dashboards, and analytics, with exposure to Power BI or similar reporting tools.
• Perform data analysis and reconciliation to identify trends, exceptions, data quality issues, and opportunities for process improvement.
• Partner with Model Risk Management, Enterprise Risk Management, technology, and business teams to translate business requirements into scalable automation and analytics solutions.
• Support testing, implementation, documentation, and ongoing maintenance of automation and analytical solutions.
• Develop clear technical and process documentation to support effective governance, controls, knowledge transfer, and operational sustainability.
• Collaborate with peers and experienced managers to address risk, analytics, reporting, and operational challenges and deliver high-quality solutions.

• 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of work experience, training, military experience, or education.
• Strong hands-on experience with Python and SQL, including development of automation, data processing, reconciliation, and analytical solutions.
• Experience developing or supporting UI automation solutions to automate business processes and repetitive activities.
• Experience with Airflow or similar workflow orchestration capabilities for scheduling, managing, and monitoring automated processes.
• Demonstrated ability to leverage AI capabilities for coding and business processes, including improving development productivity, analytics, documentation, and process automation.
• Strong analytical, problem-solving, documentation, and communication skills.
• Ability to work effectively across business, risk, and technology stakeholders and manage multiple priorities.

• Experience with Power BI, dashboards, reporting, or ETL/data transformation processes.
• Experience developing management information, operational reporting, or risk analytics solutions.
• Knowledge of Model Risk Management, including model governance, validation, model lifecycle, or related processes.
• Knowledge of Enterprise Risk Management concepts, frameworks, and risk governance processes.
• Experience identifying and implementing automation opportunities within risk or governance processes.
• Experience developing or implementing Generative AI (GenAI)-based solutions, including applying AI capabilities to automate business processes, enhance analytics, improve productivity, or support decision-making.
• Experience translating business requirements into practical analytics, automation, and reporting solutions.
• Ability to work independently, demonstrate ownership, and drive moderately complex initiatives through implementation.

• This position offers a hybrid work schedule.
• Willingness to work onsite at the location stated in the job posting.