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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Analytics Consultant - Global Employee Fraud... - **Company:** Wells Fargo - **Location:** Charlotte, NC, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Big Data, Network Analysis, Data Governance, Data Mining, Executive Information Systems, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Power BI, SQL Databases, Performance Monitor, Alteryx - **Published:** July 14, 2026 - **Apply:** https://www.juju.com/job/00000000ggi275 ## About the Role + 5+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: + Advanced analytics expertise using SQL, Python, and large, complex datasets to identify trends, anomalies, and emerging risks. + Proficiency in developing reporting, dashboards, workflows, and automation solutions using Power BI, Alteryx, and related analytical tools. + Experience applying data mining, statistical analysis, AI/ML concepts, and data governance principles to support risk monitoring and decision-making. + Experience supporting internal fraud, conduct risk, investigations, operational risk, compliance, audit, or enterprise risk management functions. + Strong knowledge of employee fraud risk frameworks, investigation lifecycle management, risk assessment, mitigation, and analytical controls. + Proven ability to design executive dashboards, management reporting, and presentations that translate complex findings into actionable business insights. + Demonstrated leadership in driving analytical initiatives from strategy through implementation while managing multiple priorities and stakeholders. + Strong collaboration, consulting, mentoring, and communication skills, with the ability to influence senior leaders and communicate technical concepts in business terms. Job Expectations: + This position is **NOT** eligible for Visa sponsorship. + Ability to work on site per Wells Fargo's standard operating model in the listed location (hybrid schedule - 3 days on-site & 2 remote) + The ability to travel up to 10% of the time. ## Description Wells Fargo is seeking a **Lead Analytics Consultant** in **Insights and Analysis** , to support **Global Employee Fraud Monitoring and Fraud Policy objectives** in compliance with required enterprise standards. The **Lead Analytics Consultant** will be responsible for providing analytical insights and analysis for issue remediation efforts, including regulatory deliverables, enterprise metrics, proactive monitoring, internal fraud insights generation and provide timely decision-ready insights. Further scope of responsibilities, including advising business leaders through complex data analysis, influencing analytic methodologies, ensuring compliance with legal and policy standards, and leading projects while mentoring peers. The role requires independent execution, advanced judgment, and engagement with mid- to senior-level stakeholders. In this role, you will: + Develop and deliver enterprise-wide analytics, insights, and reporting related to employee fraud risk, conduct risk, and policy adherence. + Design and automate executive dashboards, scorecards, key risk indicators (KRIs), and key performance indicators (KPIs) that support proactive monitoring and risk management activities. + Build data-driven solutions that identify patterns, anomalies, emerging risks, and fraud trends across employees, business units, channels, products, and processes. + Perform complex exploratory analysis and root cause investigations utilizing structured and unstructured data sources. + Support enterprise fraud monitoring programs through the development, enhancement, and maintenance of proactive monitoring routines and analytical methodologies. + Create executive-level presentations and reporting materials for leadership reviews, governance committees, business reviews, regulatory engagement, and risk forums. + Develop scalable analytics and automation solutions that improve consistency, efficiency, and effectiveness across monitoring and reporting processes. + Partner with Fraud Risk, Compliance, Employee Relations, Investigations, Human Resources, Legal, Operational Risk, Technology, and Business partners to support internal fraud risk management objectives. + Create and maintain governance documentation, controls, procedures, and monitoring standards that support adherence to Internal Fraud Program policies and requirements. + Analyze large and complex datasets from multiple systems to generate actionable intelligence and business insights. + Support advanced analytics initiatives, including predictive analytics, anomaly detection, machine learning, artificial intelligence, network analysis, and graph-based analytics. + Consult with business partners and senior leaders regarding emerging risks, analytical findings, performance trends, and strategic opportunities. + Lead analytical projects and mentor junior analysts, providing technical guidance and sharing best practices across the team., 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Detecting Money Laundering with AI](https://www.wearedevelopers.com/videos/111-detecting-money-laundering-with-ai) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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