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Wells Fargo is seeking a Lead Risk Analytics Consultant for the CAR Data Management/Consulting, Implementation & Sourcing team. The CAR Commercial group manages all aspects of commercial data including data uploads, data mapping, maintaining metadata, reconciliations, data quality management, data warehousing, source system load functions, and other key functions necessary for effective data management.
Job Responsibility:
Manage and maintain data and relationship with partners for one or more systems of records
Participate in monthly data load and reconciliation activities to ensure accuracy, integrity, and completeness for downstream consumption and usage
Monitor data and resolve/correct SOR data deficiencies each month
Support downstream users and reporting groups related to assigned SORs and assist other CAR team SOR owners
Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact
Act as a key participant in data aggregation, monitoring, and reporting of stress testing and portfolio analysis for Risk Analytics
Review and analyze complex programing models to extract data and manipulate databases to provide statistical and financial modeling specific to businesses supported
Manage the roll out of pilot programs developed as a result of programmed models for supported businesses and product lines
Make decisions in complex product strategies, data modeling, and risk exposure
Collaborate and consult with peers, partners, stakeholders, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals
Lead projects, teams, and mentor others
Requirements:
5+ years of Risk Analytics experience or equivalent demonstrated through work experience, training, military experience, or education
5+ years of experience with Oracle, Toad, SQL server, Teradata, SAS, Unix, Python, PowerBI and/or Tableau
Extensive experience in credit reporting and credit risk analytics
Knowledge of Commercial Banking business and SORs
Ability to gather, analyze, and interpret large datasets
Demonstrated knowledge and experience with relational databases
Proficient in relational database design and querying, with experience in data mapping, mining, and modeling
Understanding of General Ledger and experience in GL reconciliation
Strong analytical skills with high attention to detail and accuracy
Excellent verbal, written, and interpersonal communication skills
Extensive experience with Microsoft office tools including Excel formulas, pivot tables, etc.
Build and leverage relationships with partners to understand approach and key deliverables
Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
Ability to work independently and with teams on multiple initiatives concurrently