Enterprise Internal Fraud Senior Lead Analytics Consultant
| Company | Wells Fargo |
|---|---|
| Location | Des Moines, IA, USA, Charlotte, NC, USA, Chandler, AZ, USA, Wilmington, DE, USA, Roanoke, VA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
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
- 7+ years of SQL experience
- 7+ years of SAS experience
Responsibilities
- Develop and support data-driven strategy programs intended to alert potential internal fraud activity
- Support the Enterprise-wide expansion of Wells Fargo’s Internal Fraud analytics suite of strategies; including data acquisition, exploration, SQL and SAS coding, regression testing, ad hoc analysis, production support, and optimization
- Work with various technical resources to identify and leverage new data sources
- Support other analytic consultants in the developing new and optimizing existing strategies
- Provide vision, direction, and expertise to senior leadership on implementing innovative and effective business solutions that address the Enterprise’s internal fraud risk
- Lead the strategy development and resolution of highly complex and unique challenges requiring analytical application of industry best practice techniques, statistics, and advanced data transformation leveraging enterprise-wide source data
- Deliver solutions that are long-term, large-scale, and require vision, innovation, and coordination of highly complex activities
- Ensure adherence to compliance and legal regulations and policies on all projects managed
- Enhance the team’s end to end control environment
Preferred Qualifications
- Experience in scheduling and automation of analytic routines
- Experience with ETL (extract, transform, and load) practices and standards
- Experience managing financial crime detection, investigation and intelligence strategies
- Experience in developing data driven insights to uncover data anomalies, trends, and actionable analysis
- Experience in implementing data validation and quality monitoring from data ingestion point to output
- Ability to incorporate disparate data sources and develop strategies/operational processes
- Experience developing partnerships and collaborating with other business and functional areas
- Ability to articulate issues, risks, and proposed solutions to various levels of staff and management
- Experience working within documented procedures and established controls
- Ability to take initiative and work independently with minimal supervision in a structured environment
- Strong attention to detail and accuracy skills
- Experience working in an environment that requires continuous learning
- Sense of urgency to respond to critical time-sensitive requests
- Excellent verbal, written, and interpersonal communication skills