Senior Information Security Analyst - CADE

Senior Information Security Analyst - CADE

About this role:

Wells Fargo is seeking a Senior Information Security Analyst to serve as a hands-on technical contributor focused on data engineering, application development, control automation, and AI enablement in Cybersecurity Information Protection Domain (IPD) function. ​

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, and 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, and provide recommendations to improve them

• Collaborate and consult with peers, colleagues, and 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, or 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, or process optimization

• Ability to design scalable, maintainable solutions for complex technical and data problems

• Experience in software engineering, data engineering, or technical solution development

• Strong hands-on experience with Python for application development, automation, and data processing

• Experience with SQL for data querying, transformation, and ETL/ELT processes

• Experience designing and building data pipelines and integrating enterprise data sources

• Experience with Power BI, Microsoft Fabric, or Power Platform for reporting and analytics

• Experience integrating systems using REST APIs, JSON, and secure data exchange methods

• Experience with GitHub, CI/CD pipelines, and modern development practices

• Strong troubleshooting skills across applications, data pipelines, and integrations

• Experience building end-to-end data and automation solutions supporting governance or control processes

• Experience with operational data stores, data modeling, and 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, and traceability across distributed data environments

• Experience integrating AI capabilities into data pipelines, analytics workflows, or 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, and governance outcomes.

• 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, and 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, and optimization

• Leverage AI and advanced analytics to support anomaly detection, data validation, and pattern recognition across control execution data

• Automate data processing, validation, and workflow activities to reduce manual effort and improve scalability

• Design and develop Python-based services, APIs, and automation solutions to support control execution and reporting workflows

• Build and optimize data pipelines using SQL, ETL/ELT processes, and operational data store patterns

• Develop data models and analytics solutions using Power BI, Fabric, and Power Platform tools

• Integrate systems of record through REST APIs, enabling data ingestion, validation, and reconciliation across platforms

• Design solutions that ensure data quality, traceability, and auditability across pipelines and reporting outputs

• Implement CI/CD practices using GitHub for code management, deployment, and version control

• Translate control and business requirements into scalable technical solutions with embedded validation and audit trails

• Troubleshoot data pipelines, application logic, API integrations, and 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, 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.

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.