AVP, Model Governance

Overview

* May Consider Full Time Teleworking for this position.*

 

The Assistant Vice President, Model Governance Analyst is responsible for assisting the Bank’s Model Risk Management Department with its framework and standards, model and non-model/tool inventory and reviews, model and tool onboarding process, meeting materials, model and tool governance, and project management.

Responsibilities

  • Update, review and maintain model and tool inventories to ensure all required information in the inventories are updated, included and accurate.
  • Assist Model Risk Management Department in identifying models and tools used in the bank, communicating with stakeholders and preparing model vs.

    tool related documents.

  • Assist in new model and tool on-boarding process.
  • Assist in tracking model validation and review schedules, including communication on reports past due.
  • Assist in collecting, coordinating, preparing and distributing meeting materials (including preparing meeting minutes) for the Model Governance Committee
  • Assist in tracking findings monitoring reports, tracking logs, and completion of the corrective actions, including related documentation.
  • Support senior managers to communicate requirements from Model Risk Management Department to model/tool owners and users.
  • Assist in tracking items that are out of compliance and create related documentation.
  • Ensure that exceptions are resolved within agreed-upon timeframe.
  • Provide project or document management assistance to the team.
  • Perform other duties as assigned.

Qualifications

Required:

  • Minimum of 5 years of banking industry, auditing or consulting experience required.
  • Minimum of 2 years of experience in model risk management or risk management required.
  • Bachelor’s degree in a related field required.
  • Knowledge of model governance requirements in the Federal Reserve’s Supervisory Letter SR 11-7
  • Detail oriented
  • Strong written and verbal communication skills

Preferred:

  • Master’s degree preferred.
  • Knowledge of VBA, R, Python preferred

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