Senior Information Security Analyst - CADE

In This Role, You Will

• Provide information security consultation to improve awareness and compliance with Enterprise Information Security policy, processes and standards Perform remediation of security assessment review issues, complex ad hoc data
• reporting to support information security risk management Provide guidance and direction in reviewing assessment findings and mitigating controls to optimize information security Identify and direct information asset portfolio reconciliations and certifications Provide advanced data aggregation and data of information security risk exposure Develop and deliver Information Security Education Awareness and Training in accordance with the Enterprise Information Security Program standards Review draft and proposed control standards for business impact and recommend modifications or clarifications as required Conduct security control testing and consultation with stakeholders Evaluate and interpret internal and Enterprise Information Security policies, processes and standards
• provide recommendations to improve them Collaborate and consult with peers, colleagues
• managers to resolve issues and achieve goals Interact with internal customers Serve as a mentor to less experienced staff Required Qualifications: 4+ years of Information Security Analysis experience
• equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Experience using AI-assisted development tools or techniques to improve productivity and solution delivery Understanding of applying AI or advanced analytics for data validation, anomaly detection
• process optimization Ability to design scalable, maintainable solutions for complex technical and data problems Experience in software engineering, data engineering
• technical solution development Strong hands-on experience with Python for application development, automation
• data processing Experience with SQL for data querying, transformation
• ETL/ELT processes Experience designing and building data pipelines and integrating enterprise data sources Experience with Power BI, Microsoft Fabric
• Power Platform for reporting and analytics Experience integrating systems using REST APIs, JSON
• secure data exchange methods Experience with GitHub, CI/CD pipelines
• modern development practices Strong troubleshooting skills across applications, data pipelines
• integrations Experience building end-to-end data and automation solutions supporting governance or control processes Experience with operational data stores, data modeling
• data reconciliation techniques Experience developing enterprise reporting and analytics solutions for metrics and insights Familiarity with workflow automation and integration across enterprise systems Experience improving data quality, lineage
• traceability across distributed data environments Experience integrating AI capabilities into data pipelines, analytics workflows
• automation solutions Demonstrated ability to independently deliver production-ready, scalable solutions in a fast-paced environment Job Expectations: Designing and building scalable, code-first solutions that enable automated control execution, enterprise reporting
• Develop Python-based services, APIs, and data pipelines to ingest, transform, and integrate enterprise data across systems of record.
• The role will also leverage AI-assisted development and analytics techniques to enhance engineering productivity, improve data quality insights
• enable intelligent automation of control execution and reporting processes.
• Additionally, the role will build reporting and analytics solutions using Power BI and Microsoft Fabric to support governance metrics and operational insights.
• Operate as a technical individual contributor with end-to-end ownership of solution delivery, including design, build, integration, optimization, and continuous improvement.
• Success is defined by improving data quality, reducing manual effort, increasing automation, and delivering reliable, audit-ready, and AI-enabled solutions that support control execution and reporting.
• Identify and implement opportunities to embed AI into data pipelines and automation workflows to improve efficiency and decision support Apply AI-assisted development techniques to accelerate engineering tasks, including code generation, testing
• optimization Leverage AI and advanced analytics to support anomaly detection, data validation
• pattern recognition across control execution data Automate data processing, validation
• workflow activities to reduce manual effort and improve scalability Design and develop Python-based services, APIs
• automation solutions to support control execution and reporting workflows Build and optimize data pipelines using SQL, ETL/ELT processes
• operational data store patterns Develop data models and analytics solutions using Power BI, Fabric
• Power Platform tools Integrate systems of record through REST APIs, enabling data ingestion, validation
• reconciliation across platforms Design solutions that ensure data quality, traceability
• auditability across pipelines and reporting outputs Implement CI/CD practices using GitHub for code management, deployment
• version control Translate control and business requirements into scalable technical solutions with embedded validation and audit trails Troubleshoot data pipelines, application logic, API integrations
• reporting discrepancies Posting End Date: 21 Jul 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
• 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)
• 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
• 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.
• 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.