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:

• Proficiency in SAS, SQL, and/or Python.
• Experience in model ownership including development, implementation, and maintenance, preferably within financial crimes or corporate risk.
• Experience with statistical modeling, machine learning algorithms for financial institutions’ transaction monitoring controls.
• Experience or familiarity with the Oracle AML product.
• Demonstrated experience supporting BSA, AML, or sanctions monitoring systems for global multi-channel financial institution. CAMS certification a plus.
• Master’s degree or higher in a quantitative field such as applied math, statistics, engineering, physics, economics, econometrics, computer sciences, or business, social and behavioral sciences with a quantitative emphasis.

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

ABOUT THIS ROLE:

Wells Fargo is seeking a Lead Analytics Consultant to join the Financial Crimes Analytics, Monitoring and Surveillance Team to support the Anti Money Laundering (AML) Transaction Monitoring (TM) Program. The Lead Analytics Consultant will join a team of AML model owners responsible for maintaining a dynamic, effective set of tools to detect and mitigate money laundering risks.
Learn more about our careers and business divisions at wellsfargojobs.com.

IN THIS ROLE, YOU WILL:

• Maintain a set of AML Transaction Monitoring models across the Wells Fargo business and compliance structure.
• Lead critical efforts to identify and develop new tools, controls, and processes to modernize the AML transaction monitoring program and support both financial crime and data-related policies.
• Collaborate with cross-functional teams, including front office business and companywide functions, on the transaction monitoring program including priorities and strategies.
• Provide analytical support regarding a wide array of business initiatives in the Financial Crimes space.
• Partner with business and technical groups to design, lead, and implement analytic solutions.
• Implement and/or maintain program compliance with all corporate model risk requirements.
• Ensure adherence to legal regulations and company policies on all projects managed.
• Communicate with peers, managers, corporate model risk, internal audit, Financial Crimes Investigations, and product managers.