Analytics Consultant 4 – Fair Lending Analytics

Job Description

Important Note: During the application process, ensure your contact information (email and phone number) is up to date and upload your current resume when submitting your application for consideration. To participate in some selection activities you will need to respond to an invitation. The invitation can be sent by both email and text message.  In order to receive text message invitations, your profile must include a mobile phone number designated as “Personal Cell” or “Cellular” in the contact information of your application.

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.

As the company’s second line of defense, Corporate Risk — or Independent Risk Management — provides independent oversight of risk-taking activities. Independent Risk Management establishes and maintains Wells Fargo’s risk management program and provides oversight, including challenges to and independent assessment of, the frontline’s execution of its risk management responsibilities. We manage risk according to the Risk Management Framework and ensure all employees understand their individual accountability for managing risk.

Analytics Consultant 4 – Fair Lending Monitoring

The Analytics Consultant position will report into WFC’s Fair Lending Monitoring (FLM) data team and will provide support across the team, focusing on data modeling and design requirements, automation, and procurement for fair lending monitoring analysis. The Analytics Consultant will work with users to understand complex data requirements and problems, recommend solutions, and focus on bringing issues to resolution. He/she will manage all data gathering activities and analysis functions associated with projects varying in scope and complexity. This position will be responsible for establishing and managing data dictionaries for WFC FLM, working with line of business (LOB) processes for loading data into a centralized repository using SAS and SQL server tools, and reporting on various activities and team deliverables. He/she must be able to train and motivate team members to effectively synthesize information and draw analytically sound conclusions.

Specific duties for this position include, but are not limited to:

• Developing and revising complex data management plans, working with users to understand complex problems, focusing on bringing issues to resolution, and escalating as necessary to meet timelines
• Demonstrating end-to-end process ownership and providing comprehensive project data and analytics reporting
• Developing and implementing WFC processes, procedures and performance metrics
• Assisting team members with ad-hoc assignments
• Having a detailed understanding of loading large data sets into SAS and SQL server environments
• Having superior technical skills with technologies like SAS, SQL.
• Developing technology solutions using SAS or web based to automate data gathering processes; serving as a technology Subject Matter Expert (SME) and resource to WFC managers
• Leading efforts to document processes and procedures for FLA data team functions
• Representing WFC and leading the efforts for all enterprise related system/application upgrades
• Consulting with business partners to clarify and define project requirements and business cases, including developing/modeling data plans
• Building strong partnerships and collaborating effectively with partners
• Creating and delivering presentations to management on project goals and plans, including progress reports
• Developing and maintaining reports of scheduled and in-progress initiatives
• Conducting data studies on LOB’s to understand lending activities across the loan life-cycle
• Conducting simple analytics such as distributions, percentages, simple ratios, and any other information in support of the FLM team’s understanding of the business and review risk scoping activities 
• Executing BISG (Bayesian Improved Surname Geocoding) proxy modeling ; Working knowledge of data gathering for Artificial Intelligence and Machine Learning Models is a Plus

Required Qualifications

• 6+ years of experience in one or a combination of the following: reporting, analytics, or modeling demonstrated through work or military experience; or a Masters degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 4+ years of experience in one or a combination of the following: reporting, analytics, or modeling

Desired Qualifications

• Extensive knowledge and understanding of research and analysis
• Strong analytical skills with high attention to detail and accuracy
• Excellent verbal, written, and interpersonal communication skills
• Advanced Microsoft Office skills
• Excellent verbal, written, and interpersonal communication skills
• Strong analytical skills with high attention to detail and accuracy
• Ability to articulate complex concepts in a clear manner
• Experience working in a large enterprise environment
• Knowledge and understanding of banking or financial services industry

Other Desired Qualifications

• Data gathering for complex modeling tools and use in AI/ML frameworks
• Data gathering for complex modeling tools and use in AI/ML frameworks
• Master degree or Advanced degree
• Self-driven, dedicated, with a strong work ethic that leads by example
• 8+ years of data reporting and development experience
• SAS software expertise is a must  & SQL server Integration and reporting services
• Expertise in other technologies like Oracle, and Teradata
• Demonstrated experience communicating with technical and non-technical stakeholders
• Experience in leading large working sessions either in person or virtually

Street Address

NC-Charlotte: 301 S College St – Charlotte, NC
NC-Charlotte: 128 South Tryon Street – Charlotte, NC
NC-Charlotte: 401 S Tryon St – Charlotte, NC
NC-Charlotte: 1525 W Wt Harris Blvd – Charlotte, NC
IA-Des Moines: 206 8th St – DES MOINES, IA
IA-West Des Moines: 7001 Westown Pkwy – West Des Moines, IA
MN-Minneapolis: 600 S 4th St – Minneapolis, MN
MN-Minneapolis: 2701 Wells Fargo Way – Minneapolis, MN
MN-Saint Louis Park: 435 Ford Rd – Saint Louis Park, MN
NY-New York: 150 E 42nd St – New York, NY
NJ-Summit: 190 River Rd – Summit, NJ
AZ-PHX-Central Phoenix: 100 W Washington St – Phoenix, AZ
AZ-PHX-Northwest Phoenix: 2222 W Rose Garden Ln – Phoenix, AZ
AZ-Chandler: 2700 S Price Rd – Chandler, AZ

Disclaimer

All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.

Relevant military experience is considered for veterans and transitioning service men and women.
Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.

Benefits Summary

Benefits
 

Visit https://www.wellsfargo.com/about/careers/benefits for benefits information.