Lead Analytics Consultant - Deposit & Inclearing Fraud Strategy Team

Wells Fargo • Wilmington, DE

1d

About The Position

About this role: Wells Fargo is seeking a Lead Analytics Consultant to join the Deposit & Inclearing Fraud Strategy Team within Fraud & Claims Management (FCM). Learn more about the career areas and lines of business at wellsfargojobs.com. In this role, you will: Utilize analytic capabilities to perform event-based and root cause analysis in the Deposit and on-us Check victim fraud space Consult and perform complex analyses involving data mining from multiple sources and/or predictive modeling, regression/multivariate, financial, comparative analysis, customer/demographic analysis, etc. Provide insights, develop analytical strategies, performing analytical support and/or modeling regarding a wide array of business initiatives related to fraud Present findings and partner in the development or enhancement of fraud strategies and upstream controls to mitigate risk of event/intel and/or loss to Wells Fargo and its clients with specific focus on victim fraud while engaging other fraud strategy and risk teams as needed Identify opportunities for statistical models and/or create sophisticated computer modeling approaches to analyze and forecast business performance; participating in and/or leading management information capabilities development work; interpreting and presenting results of analyses and recommendations to senior management Ensure adherence to data management/data governance regulations and policies Collaborate and consult with peers, colleagues, and more experienced managers to resolve issues and achieve goals Lead projects, small teams, or serve as a peer mentor

Requirements

• 5+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years of hands‑on coding experience in SAS, SQL, or Python for data querying, management, and reporting

Nice To Haves

• 3+ years of experience using data and analytics to inform and develop risk mitigation strategies
• 2+ years experience designing and optimizing complex SQL queries involving table joins and correlated sub-queries on large scale data tables
• 3+ years of experience creating pivot tables and performing data analysis in Excel
• Experience with on-us Check and/or Deposit data
• Experience using Tableau or similar data visualization tools
• Knowledge and understanding of fraud risk and mitigation including strategies to reduce or mitigate loss and fraud exposures
• Extensive knowledge and understanding of research and analysis
• Strong analytical skills with high attention to detail and accuracy
• Excellent verbal, written, and interpersonal communication skills
• Outstanding problem solving and analytical skills with ability to turn findings into strategic imperatives
• Ability to interact with integrity and a high level of professionalism with all levels of team members and management
• Ability to think creatively to find innovative solutions to complex analytical questions
• Ability to learn and assimilate information from multiple people and sources
• Certified Fraud Examiner (CFE)

Responsibilities

• Utilize analytic capabilities to perform event-based and root cause analysis in the Deposit and on-us Check victim fraud space
• Consult and perform complex analyses involving data mining from multiple sources and/or predictive modeling, regression/multivariate, financial, comparative analysis, customer/demographic analysis, etc.
• Provide insights, develop analytical strategies, performing analytical support and/or modeling regarding a wide array of business initiatives related to fraud
• Present findings and partner in the development or enhancement of fraud strategies and upstream controls to mitigate risk of event/intel and/or loss to Wells Fargo and its clients with specific focus on victim fraud while engaging other fraud strategy and risk teams as needed
• Identify opportunities for statistical models and/or create sophisticated computer modeling approaches to analyze and forecast business performance; participating in and/or leading management information capabilities development work; interpreting and presenting results of analyses and recommendations to senior management
• Ensure adherence to data management/data governance regulations and policies
• Collaborate and consult with peers, colleagues, and more experienced managers to resolve issues and achieve goals
• Lead projects, small teams, or serve as a peer mentor

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees