Director; Sr Quantitative Finance Mgr

Bank of America Bank of America · Banking · Charlotte, NC

Director/Sr. Quantitative Finance Manager at Bank of America responsible for developing and deploying quantitative models and analytical frameworks using advanced statistical, machine learning, and AI methodologies for risk management, loan loss modeling, and credit risk management. The role involves leading a quantitative team, setting priorities, and identifying continuous improvements in model development and validation processes.

What you'd actually do

  1. Develop innovative technology-based solutions in the form of software, analytical tools and automation utilities to drive process efficiencies and drive business growth.
  2. Be the thought leader who designs processes, systems and tools based on applied advanced quantitative statistical, machine learning and Al methodologies to build models and analytical frameworks that can be leveraged for better risk management.
  3. Deliver quantitative models and solutions to the Lines of business that optimize the use of Big Data in a way that reduces the model development and deployment cycle.
  4. Evaluate quantitative methodologies and data to determine if they should be leveraged for exploration, development and deployment across Consumer models and Analytical frameworks.
  5. Direct a quantitative team with specific focus areas and oversee stakeholder engagement.

Skills

Required

  • Bachelor's degree or equivalent in Engineering (any), Finance, Economics, Statistics, Mathematics, or related
  • 7 years of progressively responsible experience in the job offered or a related Quantitative occupation
  • Utilizing advanced modeling and data science principles including, machine learning and deep learning, statistical and/or probability to develop loan loss modelling, credit risk management or consumer credit frameworks
  • Designing solutions, frameworks or processes that leverage analytical tools or models to improve risk management and/or analytical processes
  • Applying statistical techniques to analyze trends and uncover risks and opportunities relative to portfolio management, originations, or across credit lifecycle
  • Building out, supporting or developing model risk frameworks of processes including model validation, model development or monitoring
  • Developing and evaluating quantitative modelling and analytics projects in risk analytics and loss forecasting leveraging technology enabled tools

What the JD emphasized

  • advanced quantitative statistical, machine learning and Al methodologies
  • machine learning and deep learning, statistical and/or probability
  • model development and deployment cycle
  • model risk frameworks
  • model validation
  • model development

Other signals

  • Develop innovative technology-based solutions in the form of software, analytical tools and automation utilities to drive process efficiencies and drive business growth.
  • Be the thought leader who designs processes, systems and tools based on applied advanced quantitative statistical, machine learning and Al methodologies to build models and analytical frameworks that can be leveraged for better risk management.
  • Deliver quantitative models and solutions to the Lines of business that optimize the use of Big Data in a way that reduces the model development and deployment cycle.
  • Evaluate quantitative methodologies and data to determine if they should be leveraged for exploration, development and deployment across Consumer models and Analytical frameworks.
  • Utilizing advanced modeling and data science principles including, machine learning and deep learning, statistical and/or probability to develop loan loss modelling, credit risk management or consumer credit frameworks;