Senior Lead Analytics Consultant

At Wells Fargo, we are looking for talented people who will put our customers at the center of everything we do. We are seeking candidates who embrace diversity, equity, and inclusion in a workplace where everyone feels valued and inspired. Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

About this role:

Wells Fargo is seeking a Senior Lead Analytics Consultant to join the Financial Crimes Analytics, Monitoring and Surveillance Team to support the Anti Money Laundering (AML) Transaction Monitoring (TM) Program. Learn more about career areas and business divisions at www.wellsfargojobs.com. The Senior Lead Analytics Consultant will join a team of professionals responsible for assuring that the Company builds and maintains dynamic, effective tools to detect and mitigate money laundering risks.

In this role, you will:

• Support the Transaction Monitoring Engagement model across the Wells Fargo business and Compliance structure.

• Assist with the development and enhancement of the AML transaction monitoring program covering various bank and/or brokerage products offered within Wells Fargo.

• 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.

• 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.

Required Qualifications:

• 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.

Desired Qualifications:

• Proficiency in Python, SQL.

• Strong experience in developing statistical modeling, machine learning algorithms for financial institutions’ financial crime controls.

• Experience in model development, implementation, and maintenance preferably with financial crimes related controls.

• Demonstrated experience in conducting financial institution control activities for data management.

• Ability to clearly and accurately articulate issues, risks, and propose solutions to various levels of staff and management through excellent verbal, written, and interpersonal communication skills.

• Excellent communication skills to discuss complex problems using non-technical terms.

• Experience or familiarity with the Oracle AML product.

• Experience developing reports and dashboards in response to requirements from Compliance and Financial Crimes stakeholders.

• Demonstrated experience supporting BSA, AML and sanctions monitoring systems for global multi-channel financial institution.

• Aptitude for synthesizing data to 'form a story'.

• Provide effective oversight, identification, and resolution of identified control issues.

• 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.

• Eagerness and ability to learn new technologies and programming languages.

Job Expectations:

• Willingness to work on-site at stated location on the job opening.

• This position offers a hybrid work schedule.

• This position is not eligible for Visa sponsorship.

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