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Wells Fargo Senior Risk Analytics Consultant 
India, Karnataka, Bengaluru 
590525487

18.08.2024


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:

  • A credit risk management analyst with at least 2 years of increasing responsibility within consumer lending

  • Advanced degree inStatistics/Finance/Engineering/otherquantitative disciplines

  • Understanding of bank regulatory data sets and other industry data sources

  • Having good working in Unix environment and knowledge of handling data in Teradata/SQL

  • Demonstrated excellence at developing sound credit processes and enhancing existing processes

  • Proficiency in Advanced SAS, SAS macros and SQL; Tableau or BI/automation tools

Wells Fargo Recruitment and Hiring Requirements:

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.