In this role, you will:
- Lead or participate in moderately complex initiatives, and delivering insight and decision strategies within analytics and reporting, and contribute to large-scale planning related to Risk Analytics
- Review and analyze moderately complex data aggregation, forecasting, reporting, and programming models
- Be responsible for process production, data reconciliation, and model documentation in alignment with policy governance
- Resolve data, production, business modeling, and lead team to meet Risk Analytics deliverables while leveraging solid understanding of risk reporting policies, modeling strategies, procedures, regulatory requests, and compliance requirements
- Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues, and achieve analytic and reporting goals
- Lead projects, teams, and mentor less experienced staff
- Partner with cross enterprise risk analysts in development of common modeling strategies
Required Qualifications:
- 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- Master’s degree in quantitative discipline
- BI tools knowledge
- Experience within the US Home Lending environment.
- 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Familiarity with account/portfolio management within the banking industry
- Demonstrated excellence at developing sound credit processes and enhancing existing processes
- Proficiency with SAS macros and experience in leveraging macros to make processes more efficient
- Knowledge of SQL & data visualization tools such as Tableau
- Ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization
- Ability to research and report on a variety of issues using problem solving skills
- Understanding of bank data sets and other industry data sources
- Bachelor’s degree or higher in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences
- Proficiency in Microsoft Office
- Strong technical skills and problem-solving skills
- Must have excellent communication skills, high degree of initiative, strong partnering and interpersonal skills, as well as critical analytical thinking
- Ability to conduct reconciliation efforts and report findings in support of research activities
- Must possess a results driven attitude committed to quality work.
- Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
- Flexibility with changing priorities
- Ability to interact with integrity and a high level of professionalism with all levels of team members and management.
27 Feb 2025
Wells Fargo Recruitment and Hiring Requirements:
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.