Vice President; Sr Quantitative Fin Analyst

Bank of America Bank of America · Banking · Jersey City, NJ

Develops and maintains quantitative models for risk management and financial forecasting in a regulated fintech environment. Requires experience in feature engineering, predictive modeling, scenario analysis, and translating findings into business insights using various analytical tools and visualization platforms.

What you'd actually do

  1. Apply quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements.
  2. Maintain and continuously enhance capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks.
  3. Understand and execute activities that form the end-to-end model development and use life cycle.
  4. Clearly document and effectively communicate quantitative methods as part of ongoing engagement with key stakeholders, including the lines of business, risk managers.
  5. Support the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization.

Skills

Required

  • Master's degree or equivalent in Financial Risk Management, Economics, or related
  • 2 years of experience in Quantitative Risk Management or Financial Forecasting
  • Feature creation, testing and performance monitoring
  • MS Excel, Python, SAS, and SQL
  • Pandas, NumPy, Spark/PySpark
  • Scenario and sensitivity analysis
  • Structured problem-solving
  • Tableau/Power BI

What the JD emphasized

  • Building and evaluating predictive risk or financial forecasting models
  • Performing high-level portfolio and transaction analytics
  • Developing scenario and sensitivity analysis
  • Applying structured problem-solving
  • Translating analytical findings into clear business insights