Social Engineering Simulation Senior Analyst
Wells FargoAbout the role
About this role:
We are seeking a highly motivated and forward-thinking cybersecurity professional to join our Cyber Resiliency and Human Defense (CHD) team and be a part of the Social Engineering Simulations group. This role is instrumental in advancing our phishing and social engineering defense capabilities while strengthening our broader human risk management strategy.
As a Senior Information Security Analyst, you will design and execute sophisticated social engineering simulations, leverage advanced analytics to identify behavioral risk patterns, and help deliver targeted interventions that drive measurable reductions in human risk. This role offers a unique opportunity to combine cybersecurity, behavioral science, and data analytics to influence real-world security outcomes across a large enterprise.
The ideal candidate thrives in a fast-paced environment, brings strong analytical and technical capabilities, and is passionate about staying ahead of evolving adversary tactics.
In this role, you will:
- Design, develop, and execute realistic and adaptive social engineering simulations (e.g., phishing, vishing, smishing) aligned to current threat intelligence.
- Analyze simulation, behavioral, and campaign data to identify trends, high-risk populations, and emerging vulnerabilities.
- Translate complex data and simulation results into actionable insights, executive-ready reporting, and clear recommendations to improve security posture.
- Partner with threat intelligence, red team, fraud, and cyber defense functions to ensure simulations reflect real-world attack techniques.
- Develop targeted, data-driven awareness campaigns and interventions to influence employee behavior and reduce risk.
- Help build and maintain dashboards and reporting frameworks to track key performance indicators (e.g., click rates, report rates, repeat behavior).
- Conduct hypothesis-driven testing (e.g., A/B testing of phishing scenarios and training approaches) to continuously improve program effectiveness.
- Contribute to the development of enterprise human risk scoring methodologies and segmentation strategies.
- Stay current with emerging social engineering trends, adversary tactics, and evolving regulatory expectations.
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
- 4+ years of cybersecurity experience or a related field, with direct work on phishing, social engineering, or security awareness programs, or equivalent demonstrated through work experience, training, or military experience
- Hands-on experience with phishing or social engineering simulation platforms (e.g., Proofpoint, Cofense, KnowBe4).
- Strong understanding of cybersecurity fundamentals, including threat landscape, attack vectors, and risk mitigation strategies.
- Proven ability to synthesize data into actionable insights for both technical and non-technical audiences.
- Excellent written and verbal communication skills with the ability to influence stakeholders.
- Strong problem-solving mindset with a focus on continuous improvement and innovation and demonstrated ability to manage multiple priorities and deliver results in a dynamic environment.
Desired Qualifications:
- Bachelor’s degree in Cybersecurity, Information Technology, Data Analytics, Behavioral Science, or a related field.
- Experience working with, analyzing, and creating visualizations for structured and unstructured data using tools such as Excel, SQL, Python, Power BI, Tableau, or similar.
- Experience in behavioral analytics, human risk management, user behavior modeling, and social engineering techniques.
- Familiarity with cybersecurity frameworks (e.g., NIST, CRI, MITRE ATT&CK)
- Experience designing or delivering security awareness or training programs at scale.
- Relevant certifications such as Security+, CISSP, CISM, or data analytics certifications.
- Experience working in highly regulated environments (e.g., financial services, communications, healthcare).
Job Expectations:
- This position offers a hybrid work schedule
- This position is not eligible for Visa sponsors
- Demonstrate foundational AI literacy by effectively using approved AI tools to support everyday work
- Apply AI tools for activities such as research, summarization, drafting, analysis, and decision support
- Exercise sound judgment when interpreting and using AI‑generated outputs
- Understand basic AI limitations and appropriate use cases within daily workflows
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