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Senior Analytics Consultant
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The Consumer Banking Lending (CBL) organization supports the lifecycle management of consumer lending portfolios through data-driven insights, portfolio monitoring, servicing strategy development, operational performance management, and customer experience enhancement.
The team partners closely with business, operations, servicing, collections, technology, and finance teams to deliver actionable analytics that drive portfolio performance, operational efficiency, and customer outcomes across consumer lending products, including Auto Loans.
The Consumer Banking Lending Analytics team is responsible for developing analytical solutions and strategic insights that support portfolio management, servicing operations, collections strategies, payment behavior analysis, delinquency management, and overall business performance.
The team is seeking a talented and experienced Senior Analytics Consultant to join the Auto Lending Portfolio & Servicing Analytics Team.
The candidate will provide analytical support across key areas of the Auto lending lifecycle, including portfolio monitoring, customer servicing, payments, collections, deferrals, delinquency management, operational effectiveness, and performance reporting.
This role requires strong business acumen, advanced analytical capabilities, and the ability to translate data into actionable business insights. The ideal candidate will be comfortable working in a fast-paced environment, partnering with multiple stakeholders, and driving data-based decision making.
Execute large and complex analytical initiatives that support Auto Lending portfolio performance and servicing strategy objectives.
Partner with business and operations teams to identify opportunities for improving portfolio performance, customer outcomes, operational efficiency, and servicing effectiveness.
Develop analytical frameworks to assess portfolio trends, customer behavior, payment performance, collections effectiveness, and operational processes.
Build and maintain monitoring dashboards, scorecards, and reporting solutions to track key portfolio and servicing performance indicators.
Analyze asset quality metrics, delinquency trends, payment behavior, roll rates, collections outcomes, customer contact strategies, and portfolio performance across customer, product, vintage, channel, and operational segments.
Develop forecasting and analytical methodologies to support portfolio planning, capacity planning, staffing requirements, collections performance measurement, and business strategy initiatives.
Design, develop, and maintain complex SAS, SQL, Python, and reporting solutions to support portfolio analytics, operational reporting, and business decision making.
Evaluate internal and external data sources to enhance portfolio insights, servicing strategies, and operational effectiveness.
Perform deep-dive analyses to identify emerging trends, operational opportunities, customer behavior patterns, and business improvement opportunities.
Produce monthly, quarterly, and annual performance reporting packages for business leaders and executive management.
Support data governance, data lineage, data quality, and access management initiatives across analytical and reporting environments.
Collaborate with business, operations, servicing, collections, finance, technology, and data teams to deliver analytical solutions and strategic recommendations.
Bachelor's degree or higher in Statistics, Mathematics, Engineering, Economics, Finance, Computer Science, Data Science, or a related quantitative field.
4+ years of experience in analytics, portfolio management, servicing analytics, business performance analytics, collections analytics, or related consumer lending functions.
Hands-on experience in at least one of the following areas:
Strong understanding of consumer lending products, portfolio performance metrics, servicing operations, collections processes, and customer lifecycle management.
Advanced proficiency in SAS, SQL, Python, Excel, VBA, Tableau, Power BI, or related analytics and visualization tools.
Experience working with large-scale databases such as Oracle, Teradata, Hadoop, or cloud-based data platforms.
Strong analytical and problem-solving skills with the ability to identify trends, isolate root causes, and develop actionable recommendations.
Excellent communication and stakeholder management skills.
Advanced degree in Statistics, Mathematics, Economics, Engineering, Finance, Business Analytics, Data Science, or a related quantitative discipline.
Experience in Auto Lending portfolio management, servicing analytics, collections analytics, or customer management strategy.
Strong proficiency in SAS programming, SAS Macros, SQL, Python, Tableau, Power BI, or other business intelligence tools.
Experience developing executive dashboards, portfolio monitoring frameworks, and operational performance reporting.
Strong project management skills with the ability to prioritize competing priorities and deliver results in a dynamic environment.
Demonstrated ability to influence business decisions through data-driven insights and cross-functional partnerships.
This version should attract candidates much closer to your current CBL Portfolio & Servicing Analytics needs while avoiding a pure credit/risk analytics profile.
Posting End Date:
23 Aug 2026We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
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To request a medical accommodation during the application or interview process, visit.
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Wells Fargo maintains a drug free workplace. Please see our to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
Job ID: 152621979
Skills:
SAS, Power Bi, Sql, Power Automate, Python, Tableau, Machine Learning
Skills:
Excel, Sql, Python, Pyspark, Ppt
Skills:
data warehouses , DB2, Uft, SAS, SQL Server, Selenium, Vb Script, Oracle, Sql, Unix Shell Scripting, Teradata
