Senior Risk Analytics Consultant (#001864)

Wells Fargo • Wilmington, DE

2d • Hybrid

About The Position

Wells Fargo Bank N.A. seeks a Senior Risk Analytics Consultant in Wilmington, DE. This role involves developing and maintaining an enterprise-wide fraud "bad actor" repository by consolidating confirmed and suspected fraud data across consumer lending lines of business. The position requires performing data validation, quality reviews, and periodic audits to ensure accuracy and integrity of fraud datasets. The consultant will analyze large volumes of structured data to identify fraud trends, emerging risk indicators, and portfolio-level exposure affecting consumer lending products. They will produce analytics and management reporting on credit loss performance, profitability trends, and emerging risks by leveraging expertise in consumer lending risk data infrastructure. The role utilizes SAS programming and quantitative analytical methods for data extraction, transformation, and analysis for credit risk assessment, strategy evaluation, and loss prevention. Statistical and predictive analyses will be conducted to measure credit and fraud exposure, simulate risk outcomes, and support risk-based decisioning at origination and account review stages. The consultant will also develop and enhance risk controls within decision engines across the consumer lending product lifecycle, including credit cards, personal loans, auto lending, and home lending. Additionally, they will develop and monitor key risk indicators and performance metrics aligned with enterprise risk appetite and prepare analytical reports and summaries for management and risk stakeholders. Telecommuting is permitted up to 2 days a week, but the position must appear in person to the location listed as the work address. Travel is not required.

Requirements

• Bachelor's degree in Business Analytics, Mathematics, Statistics, Finance, Economics or related quantitative field.
• Four (4) years of experience in risk analytics or a related position.
• Experience using SQL, SAS, or similar tools for data extraction, analysis, and reporting.
• Experience in fraud and/or risk management within financial services.
• Experience using data visualization and reporting tools such as Tableau, Power BI, or similar platforms to present analytical findings.
• Experience partnering with technology, product, and risk teams to support data driven fraud strategies.
• Experience in credit and/or fraud risk management, including development or evaluation of risk strategies and portfolio level analysis.
• Experience performing root cause analysis of fraud losses, emerging trends, and control effectiveness.
• Experience developing oversight dashboards, including Key Performance Indicators (KPIs) and Key Risk Indicators (KRIs), to monitor loss trends and report material variations.
• Experience developing and maintaining enterprise or portfolio level repositories, including implementation of data quality controls, validation testing, and periodic audits.

Responsibilities

• Develop and maintain an enterprise-wide fraud "bad actor" repository by consolidating confirmed and suspected fraud data across consumer lending lines of business.
• Perform data validation, quality reviews, and periodic audits to ensure accuracy and integrity of fraud datasets.
• Analyze large volumes of structured data to identify fraud trends, emerging risk indicators, and portfolio-level exposure affecting consumer lending products.
• Produce analytics and management reporting on credit loss performance, profitability trends, and emerging risks by leveraging expertise in consumer lending risk data infrastructure.
• Utilize SAS programming and quantitative analytical methods to extract, transform, and analyze data for credit risk assessment, strategy evaluation, and loss prevention.
• Conduct statistical and predictive analyses to measure credit and fraud exposure, simulate risk outcomes, and support risk-based decisioning at origination and account review stages.
• Develop and enhance risk controls within decision engines across the consumer lending product lifecycle, including credit cards, personal loans, auto lending, and home lending.
• Develop and monitor key risk indicators and performance metrics aligned with enterprise risk appetite and prepare analytical reports and summaries for management and risk stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior