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Wells Fargo is seeking a Senior Lead Analytics Consultant to support Originations Fraud analytics within the Originations Fraud team in FCM. The position performs critical activities including Originations Fraud analytics, dashboard development, fraud rule development/oversight, and model analysis for vendor and internal models.
Job Responsibility
Lead the development of advanced analytics and dashboard development for originations fraud
Develop new strategies to counteract fraud trends and evaluate existing strategies for refinement and optimal performance
Continuously manage right balance between risk, customer experience and existing team capacity to review alerts
Act as an advisor to senior leadership to develop or influence analytical strategies for highly complex business and technical needs supporting originations fraud
Lead the strategy and resolution of highly complex and unique challenges requiring analytical application of industry techniques and advanced data from multiple sources across the enterprise
Deliver solutions that are long-term, large-scale, and require vision, innovation, and coordination of highly complex activities
Provide vision, direction, and expertise to senior leadership on implementing innovative and significant business solutions that align to the enterprise
Ensure adherence to compliance and legal regulations and policies on all projects managed
Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
Requirements
7+ 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
Skilled and experienced in advanced data analytics techniques with an educational background in a quantitative/analytical field (Statistics, Economics, etc)
Experience in fraud risk and mitigation including strategies to reduce or mitigate loss and fraud exposures
Leadership experience - including coaching, training, mentoring
4+ years of experience with SAS, SQL, Python or other data management, reporting and query tools. Includes experience designing and optimizing complex SQL queries involving table joins and correlated sub-queries on large scale data tables
4+years of experience with data visualization skills in Tableau / PowerBI or similar is needed to be able to analyze and present findings
4+ years of experience using data and analytics to inform and develop risk mitigation strategies
4+ years of experience creating pivot tables and performing data analysis in Excel
Outstanding problem solving and analytical skills with ability to turn findings into strategic imperatives
Ability to think creatively to find innovative solutions to complex analytical questions
Ability to learn and assimilate information from multiple people and sources