In this role, you will:
- Consult, review and research moderately complex business, operational, and technical challenges that require an in-depth evaluation of variable data factors
- Perform moderately complex data analysis to support and drive strategic initiatives and business needs
- Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements
- Lead or participate on large cross group projects
- Mentor less experienced staff
- Collaborate and consult with peers, colleagues, external contractors, and mid-level managers to resolve issues and achieve goals
- Leverage a solid understanding of compliance and risk management requirements for supported area
Required Qualifications:
- 4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications
- Knowledge and understanding of fraud detection process in banking.
- Predictive modeling / AI-ML basics
- Strong analytical skills with high attention to detail and accuracy
- Dedicated, enthusiastic, self-driven and performance-oriented and capable of handling multiple projects simultaneously.
- Possesses a strong work ethic and thrives in a collaborative team environment.
- Excellent verbal, written, and interpersonal communication skills and demonstratable strong presentation skills; ability to tell the story to an executive audience.
- Engage with cross culture team members and stakeholders, and other lines of business with competing priorities.
- Understanding of retail branch, phone, and digital customer experience
- Experience working on BI Tools like QlikView or Tableau
- Experience with MS Office Suite (PowerPoint, Excel, Word) – intermediate at a minimum
- Experience in one or a combination of the following: strategy development and evaluation, analytics, reporting.
- Experience with partnering and collaborating across lines of business and with operations to deploy prevention and detection strategies.
- BS/BTech degree or higher in a quantitative field such as applied math, statistics, engineering, physics
- Strong analytical skills with high attention to detail and accuracy
- Fraud Strategy / Fraud domain understanding experience
- 4+ years of SAS (e.g. Enterprise Guide or Enterprise Miner or Base SAS) and/or Python or R experience
- Demonstrated experience with Strategy development and evaluation.
- Ability to create documentation of process flows, business analysis and metadata, and conduct root causeanalysis.
- Experience in Financial services or knowledge of consumer/retail financial products
- Demonstrated critical thinking and problem-solving skills.
10 Apr 2025
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.