<h1>Lead Analytic Consultant - Global Employee Fraud Monitoring Strategies</h1><p><strong>Location:</strong> CHARLOTTE, NC</p><p><strong>Time Type:</strong> Full time</p><h3>Job Description</h3><p><b><span>About this role:</span></b></p><p></p><p>Wells Fargo is seeking a <b><span>Lead Analytic Consultant</span></b> to join the Global Employee Fraud Monitoring Strategies (GEFMS) team. This role is responsible for designing and implementing enterprise proactive monitoring rules to detect internal fraud, including ownership of rule development, control execution, and ongoing strategy maintenance.</p><p>The position partners with stakeholders and cross‑functional teams to assess fraud risks, identify emerging patterns, and enhance monitoring coverage through data‑driven solutions. The role requires strong analytical expertise, sound judgment, and the ability to deliver solutions that are credible, well‑governed, and sustainable.</p><p></p><p><b><span>In this role, you will:</span></b></p><ul><li>Design, develop, and implement internal fraud detection rules to support enterprise proactive monitoring</li><li>Maintain and enhance fraud monitoring strategies to address evolving risks and business priorities</li><li>Execute and oversee monitoring controls to ensure consistent and effective fraud detection</li><li>Leverage SAS and SQL to analyze large, complex data sets and support rule development and performance evaluation</li><li>Translate business and control requirements into practical analytical solutions and rule logic</li><li>Partner with stakeholders and cross‑functional teams to implement monitoring solutions and drive control improvements</li><li>Evaluate rule performance and recommend enhancements to improve detection effectiveness and coverage</li><li>Support governance, documentation, and audit readiness for fraud monitoring activities</li><li>Operate with independence in managing deliverables, prioritizing work, and resolving analytical challenges</li></ul><p></p><p><b><span>Required Qualifications:</span></b></p><ul><li>5+ years of Analytics, Reporting, Financial Modeling, or Statistics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li><li>3+ years of hands‑on experience with SAS and SQL, supporting data‑driven rule development for fraud monitoring or identification of anomalous or out‑of‑pattern activity across large enterprise data sets</li></ul><p></p><p><b><span>Desired Qualifications:</span></b></p><ul><li>Deep domain expertise in employee misconduct, and conduct risk typologies, including behavioral indicators and emerging fraud patterns</li><li>Demonstrated experience designing and implementing rule‑based detection strategies to identify potential fraud or out‑of‑pattern or anomalous activity</li><li>Experience leveraging large, complex datasets to build proactive monitoring solutions that identify potential fraud signals</li><li>Experience overseeing advanced analytics techniques, including statistical modeling, machine learning, and rule‑based detection approaches</li><li>Experience operating within large, complex data environments with disparate data sources, systems, and database structures</li><li>Quantitative educational background (e.g., Statistics, Economics, Mathematics) with extensive applied analytics experience</li><li>Experience integrating and analyzing human resources, allegation, and business application data to develop holistic fraud risk insights and inform predictive monitoring strategies</li><li>Strong familiarity with the allegation lifecycle, including intake, sensitive matters, internal investigations, root cause analysis, and customer impact considerations</li><li>Strong executive communication skills, with the ability to clearly articulate analytical insights, risks, and recommendations to leadership, audit, and regulatory audiences</li><li>Proven track record delivering fraud detection and monitoring solutions that are defensible and withstand regulatory and audit review</li><li>Experience managing work in ambiguous, fast‑changing environments with competing priorities and regulatory expectations</li><li>Familiarity with Python or additional analytics tools is preferred to support automation and analytical efficiency</li><li>Working knowledge of advanced analytics techniques, including supervised and unsupervised machine learning and natural language processing</li></ul><p></p><p><b>Job Expectations:</b></p><ul><li>Hybrid work schedule - three (3) days in office & two (2) days remote.</li><li>This position is not eligible for Visa sponsorship.</li></ul><p></p><p><b>Location:</b></p><ul><li>1525 W WT Harris Blvd Charlotte, NC</li></ul><p></p><p></p><p></p><p></p><p><b><span>Posting End Date:</span></b><span> </span></p><p></p>12 Jul 2026<p><i><b><span>*Job posting may come down early due to volume of applicants.</span></b></i></p><p></p><p></p><p><b><span>We Value Equal Opportunity</span></b></p><p></p><p><span>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.</span></p><p></p><p><span><span><span>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.</span></span></span></p><p></p><p><span><span><span>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.</span></span></span></p><p></p><p><b><span>Applicants with Disabilities</span></b></p><p></p><p><span>To request a medical accommodation during the application or interview process, visit </span><span><a><span>Disability Inclusion at Wells Fargo</span></a></span><span>.</span></p><p></p><p></p><p></p><p><b>Drug and Alcohol Policy</b></p><p><b> </b></p><p>Wells Fargo maintains a drug free workplace. Please see our <a>Drug and Alcohol Policy</a> to learn more.</p><p></p><p><b>Wells Fargo Recruitment and Hiring Requirements:</b></p><p></p><p>a. Third-Party recordings are prohibited unless authorized by Wells Fargo.</p><p>b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</p><p></p>