Job Description

About this role: Wells Fargo is seeking a Senior Analytics Consultant 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 cause analysis. Experience in Financial services or knowledge of consumer/retail financial products Demonstrated critical thinking and problem-solving skills.