Lead Analytics Consultant-Fraud Analytics

at  Wells Fargo

POSITION LOCATION:

1525 W WT Harris Blvd, CHARLOTTE, NC, 28262
401 S Tryon St, CHARLOTTE, NC 28202
1655 Grant St, CONCORD, CA 94520
794 Davis St, SAN LEANDRO, CA 94577
2700 S Price Rd, CHANDLER, AZ 85286

APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

WELLS FARGO RECRUITMENT AND HIRING REQUIREMENTS:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process

Required Qualifications:

• 5+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, educatio

Desired Qualifications:

• 4+ years of Risk experience
• 3+ years of SQL/SAS/Python experience
• Master’s degree or higher in a quantitative discipline
• Knowledge and understanding of fraud risk and mitigation: strategies to reduce or mitigate loss and fraud exposures
• Experience with predictive analysis software or applications such as Knowledge Studio or Knowledge Seeker
• Predictive modeling experience (including logistic regression)
• Experience in gathering, analyzing and interpreting large datasets
• Outstanding problem solving and analytical skills with ability to turn findings into strategic imperatives
• Ability to work in a fast-paced deadline driven environment
• Excellent verbal, written, and interpersonal communication skills
• Ability to present to multiple levels of management
• Advanced Microsoft Office (Word, Excel, and Outlook) skill

Wells Fargo is seeking a Lead Analytics Consultant in Consumer & Small Business Banking (CSBB) providing coverage for Branch Banking, Chief Customer Office, CSBB Control, CSBB Diverse Customer Segments, CSBB Operations, CSBB Strategy & Transformation, Consumer Marketing, Deposit Products Group, and Small Business. Learn more about our career areas and lines of business at wellsfargojobs.com .

In this role you will:

• Research, develop, evaluate, and execute new and existing fraud mitigation strategies
• Utilize advanced analytic capabilities to perform event-based and root cause analysis to effectively detect and mitigate fraud risk for the Wells Fargo Credit Portfolio
• Detection and mitigation of card fraud, investigate the root cause of fraud, create new or improve existing models or processes that mitigate the fraud risk and compromise events, to improve customer experience for the bank
• Drive new and improved fraud monitoring and detection capabilities including creating insightful dashboards / data visualization to track and monitor key business metrics
• Translate complex data from multiple sources, formats, data structure into actionable and tangible strategies Partner with Card Operations, Product, Fraud Claims, Compromise Management, and Strategy Implementation teams to understand and analyze all fraud mitigation processes including transaction decisioning, post-decision customer contact/analysis, and fraud claims processing
• Support authorization systems / score migration and monitoring as well as improvement to data infrastructure
• Stay current with new and developing payment methods in the payment card space, proactively identify the fraud risk that each method may create

Required Qualifications:

• 5+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• 4+ years of Risk experience
• 3+ years of SQL/SAS/Python experience
• Master’s degree or higher in a quantitative discipline
• Knowledge and understanding of fraud risk and mitigation: strategies to reduce or mitigate loss and fraud exposures
• Experience with predictive analysis software or applications such as Knowledge Studio or Knowledge Seeker
• Predictive modeling experience (including logistic regression)
• Experience in gathering, analyzing and interpreting large datasets
• Outstanding problem solving and analytical skills with ability to turn findings into strategic imperatives
• Ability to work in a fast-paced deadline driven environment
• Excellent verbal, written, and interpersonal communication skills
• Ability to present to multiple levels of management
• Advanced Microsoft Office (Word, Excel, and Outlook) skills

Job Expectations:

• This position is not eligible for Visa sponsorship
• This position offers a hybrid work schedule