Cards High Risk Account Management (HRAM) Strategy

About this role:

Wells Fargo is seeking a Senior Risk Analytics Consultant

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:

• Initially, be responsible for managing the monitoring process in the HRAM team.

• - Reports - creation, automation, identifying emerging risk and work on providing data driven solution.

• - Develop a good understanding of the HRAM process and databases used.

• - Be responsible for ensuring HRAM reports are published accurately and on/before time.

• In the mid-term, start contributing towards more strategy related projects, work on strategy change related assignments, which includes

• - Runing strategy simulations

• - Partnering with risk and outside risk (finance, ops) teams for various strategy change related projects.

• - Develop good understanding on the losses - actuals and forecast, work on forecasting.

• - Summarize data driven findings to management.

• In the long term, establish as a subject matter expert in HRAM space -

• - Drive large or complex projects independently.

• - Build a robust understanding about the PnL.

• - Bring in best scalable practices in the HRAM strategies.

• - Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues, and achieve analytical goals

• - Lead projects, teams, and mentor less experienced staff