Wells Fargo Bank N.A. seeks a Senior Risk Analytics Consultant in Wilmington, DE.
Job Role and Responsibility:
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. Telecommuting is permitted up to 2 days a week. Position must appear in person to the location listed as the work address.
Travel required: 0%
Required Qualifications:
Degree required: Bachelor's degree in Business Analytics, Mathematics, Statistics, Finance, Economics or related quantitative field.
Amount and type of experience required: Four (4) years of experience in the job offered or related position involving risk analytics.
Specific skills required:
· 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.
Posting End Date:
25 Aug 2026
*Job posting may come down early due to volume of applicants.
