Officer; Quantitative Finance Analyst

Bank of America Bank of America · Banking · Plano, TX

This role involves auditing and assessing the effectiveness of AI governance frameworks, controls, and the entire AI model life cycle within a financial institution. It requires a strong understanding of quantitative finance, data science principles (including machine learning and deep learning), model development, validation, monitoring, and risk management regulations.

What you'd actually do

  1. Conduct audit assessment of the company’s AI governance framework and routines.
  2. Conduct audit assessment of effectiveness of controls supporting the use of AI models and applications such as AI model life cycle including model governance, development, validation, on-going monitoring, and model change management.
  3. Perform review of model development analysis and on-going model performance testing to assess the conceptual soundness of the AI model methodology, reasonableness of the model assumptions and the completeness and accuracy of the model testing.
  4. Conduct review of the AI model validation analysis to assess the effectiveness of the model validation process.
  5. Assess the completeness and reasonableness of the model assumptions, limitations and independent model testing.

Skills

Required

  • Bachelor's degree or equivalent in Economics, Mathematics, Statistics, Computer Science, Finance, or related
  • 2 years of experience in quantitative finance or related quantitative occupation
  • 2 years of experience utilizing current modeling and data science principles including time-series analysis, machine learning and deep learning to develop and implement modeling frameworks
  • 2 years of experience directly interacting with model developers/validators and working as a developer/validator for models, using principles from the end-to-end model life cycle and ensuring accuracy and appropriateness of data consumed by or used to develop a model
  • 2 years of experience developing and evaluating quantitative modeling and analytics projects, using coding languages including Python and Microsoft Access
  • 2 years of experience utilizing deep knowledge of model risk management regulations and principles and the model life cycle management to implement models and assess the effectiveness of the management controls

What the JD emphasized

  • model risk management regulations
  • end-to-end model life cycle
  • model development
  • model validation

Other signals

  • AI governance framework
  • AI model life cycle
  • model risk management regulations