Lead Analytics Consultant - Data Analytics and Quality Control - 7

at  Wells Fargo

WHY WELLS FARGO:

This is where your true career begins. We ranked #2 on the 2023 LinkedIn Top Companies list - and #1 among financial services companies - as the best workplace “to grow your career” in the U.S. At Wells Fargo, we support employees’ career aspirations and growth. We’re proud of our employee-welfare-centered business approach and our commitment to diversity, equity, and inclusion in the workplace.
We offer competitive salaries and one of the richest benefits packages in the industry. Our Total Rewards program focuses on wellness, work-life balance and the financial health of our employees. Our customers invest with us, we invest in you. Apply today.

APPLICANTS WITH DISABILITIES

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

Required Qualifications, US:

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

Desired Qualifications:

• 5+ years of SQL experience
• 3+ years of SAS experience
• 2+ years of Teradata experience
• Knowledge and understanding of Quality Assurance (QA) and performance measures.
• Quality control review experience
• Experience with Customer Remediation, Audit Validations, Applied Statistics, Database, Automation or Regression testing.
• Experience with analytical methods used in statistical analysis, modeling, and reporting.
• Extensive knowledge and understanding of research and analysis.
• Strong analytical skills with high attention to detail and accuracy
• Ability to work cohesively and collaborate with analytic functions throughout the organization.
• Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment.
• Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment.
• Ability to work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability are important.
• Strong independent thinking skills
• Excellent verbal, written, and interpersonal communication skills.
• Education: Bachelor’s 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 modelin

Wells Fargo is seeking a Lead Analytics Consultant in the Customer Remediation Center of Excellence supporting the Remediation Analytics Team. Learn more about the career areas and lines of business at wellsfargojobs.com.
Primary responsibilities for this role include utilizing database knowledge and business process to perform quality assurance and advanced data analysis of identified populations of customers that require remediation and to validate the calculation of the refund, account adjustment or other resolution. These roles will support Home Lending, Credit Cards, Auto, Deposit/Banking, Data Operations and Personal Loans and Lines.

In this role, you will:

• Perform Data Analysis, develop process and perform Quality control reviews of Data solutions.
• Validate data through Quality control scorecards, create and execute test cases and scenarios.
• Document the findings and work with the team to resolve the findings.
• Interpret and translate regulatory defined stress test scenarios into model parameters, evaluate results of stress test results, and interpretation of model output.
• Provide leadership in the identification and development of new research concepts and designs.
• Ensure adherence to compliance and legal regulations and policies on all projects managed.
• Assist managers and leaders in building quarterly and annual plans and forecast future market research needs for business partners supported.
• Provide vision, direction, and expertise to leadership on implementing innovative and significant business solutions that align to the enterprise.
• Engage with peers, managers risk, compliance, managers across the enterprise, and serve as an expert advisor to leadership team.

Required Qualifications, US:

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

Desired Qualifications:

• 5+ years of SQL experience
• 3+ years of SAS experience
• 2+ years of Teradata experience
• Knowledge and understanding of Quality Assurance (QA) and performance measures.
• Quality control review experience
• Experience with Customer Remediation, Audit Validations, Applied Statistics, Database, Automation or Regression testing.
• Experience with analytical methods used in statistical analysis, modeling, and reporting.
• Extensive knowledge and understanding of research and analysis.
• Strong analytical skills with high attention to detail and accuracy
• Ability to work cohesively and collaborate with analytic functions throughout the organization.
• Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment.
• Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment.
• Ability to work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability are important.
• Strong independent thinking skills
• Excellent verbal, written, and interpersonal communication skills.
• Education: Bachelor’s 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

Job Expectations:

• Ability to travel up to 5% of the time.
• The selected candidate must be located in one of the listed work locations. This position is expected to work on site three days a week.

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