Assistant Vice President; Quantitative Finance Analyst

Bank of America Bank of America · Banking · Atlanta, GA

This role involves applying quantitative models and techniques to financial problems, focusing on risk management, credit analytics, and derivative valuation. It requires experience with statistical analysis, predictive modeling, machine learning, and using tools like Python, SQL, R, Matlab, Tableau, and Alteryx for data analysis, model development, and visualization within a fintech domain.

What you'd actually do

  1. Applying quantitative models and techniques to address and resolve concrete financial problems.
  2. Providing a micro view of risk management in a particular business line.
  3. Providing a macro view of risk management for the bank as a whole.
  4. Applying quantitative credit analytics, risk management techniques, fixed income, and derivative valuation to support various business lines such as Corporate Treasury, Risk Management, Corporate Finance, and Consumer Banking.
  5. Performing balance sheet management, credit risk quantification, financial engineering, quantitative financial modeling, risk management, and trading operations and support.

Skills

Required

  • Master's degree or equivalent in Economics, Finance, Mathematics or related
  • 2 years of experience in quantitative modeling
  • 2 years of experience in statistical analysis
  • 2 years of experience in predictive modeling
  • 2 years of experience in linear regressions
  • 2 years of experience in Machine Learning
  • 2 years of experience in building, implementing and maintaining automated process controls
  • 2 years of experience utilizing Python
  • 2 years of experience utilizing SQL
  • 2 years of experience developing data visualization tools using Tableau
  • 2 years of experience leveraging data analytics and visualization tools Alteryx, R, and Jupyter Notebook

Nice to have

  • SAS
  • Matlab

What the JD emphasized

  • quantitative modeling by utilizing advanced quantitative techniques and tools of statistical analysis, predictive modeling, linear regressions, and Machine Learning
  • Utilizing Python and SQL to conduct data analysis, estimate model coefficients, and aggregate the model results to generate comprehensive model outputs
  • Developing data visualization tools using Tableau to analyze and present data in order to support model development and Review & Challenge
  • Leveraging data analytics and visualization tools Alteryx, R, and Jupyter Notebook to build easy access analytical capabilities and insightful reporting for the management

Other signals

  • quantitative finance
  • risk management
  • machine learning
  • predictive modeling
  • Python
  • SQL
  • data visualization