: Vice President; Sr Quantitative Fin Analyst

Bank of America Bank of America · Banking · New York, NY

This role involves conducting quantitative analytics and complex modeling projects, with a focus on validating financial crime detection models using machine learning and deep learning techniques. The position requires experience in independent model validation, regulatory compliance, and providing governance oversight for financial crime detection models.

What you'd actually do

  1. Conduct quantitative analytics and complex modeling projects for specific business units or risk types.
  2. Perform independent model validation, annual model review, ongoing monitoring report review, required action item review, and peer review.
  3. Provide hands-on leadership for projects pertaining to statistical modeling and machine learning approaches to effectively challenge and influence the strategic direction and tactical approaches of these projects.
  4. Communicate and work directly with relevant modeling teams and their corresponding Front Line Units, communicate and interact with the third line of defense (e.g., internal audit) as well as external regulators, as needed.
  5. Act as a senior level resource or resident expert on analytic/quantitative modeling techniques used for Anti-money laundering.

Skills

Required

  • Master's degree or equivalent in Economics, Statistics, Finance, or related
  • 5 years of experience in quantitative occupation
  • Utilizing current modeling and data science principals including time-series analysis, machine learning and deep learning to validate financial crime detection models
  • Applying statistical techniques to analyze trends and uncover risks and opportunities relative to anti-money laundering detection
  • Supporting independent model validation and regulation exam activities in accordance with internal policies and U.S. Federal Reserve regulations
  • Evaluating quantitative modelling and analytics projects through risk analytics
  • Providing governance oversight for several financial crime detection models for model risk management

What the JD emphasized

  • validate financial crime detection models
  • anti-money laundering detection
  • independent model validation
  • regulation exam activities
  • model risk management

Other signals

  • model validation
  • machine learning
  • anti-money laundering