At Bank of America, the business and/or technical problem is to develop and maintain quantitative capabilities that meet line of business, risk management, and regulatory requirements, while responding to changing portfolios, economic conditions, and emerging risks. This involves performing end-to-end market risk stress testing, analyzing complex financial datasets, and supporting model development and risk management to align with business needs and the enterprise's risk appetite.
Requirements
- Analyzing and evaluating large and complex economic and financial datasets with analytical tools of Python, SQL and R;
- Using data technologies of SQL to handle large volumes of data produced by complex financial forecasting models;
- Performing quantitative modeling by utilizing advanced quantitative techniques and tools of statistical analysis, predictive modeling, linear regression, time series analysis, and machine learning;
- Utilizing Python and SQL to conduct data analysis, estimate model coefficients, and aggregate the model results to generate comprehensive model outputs;
- Utilizing Latex to produce technical reports of publication quality with academic rigor and comprehensive risk coverage to support internal reviews and assess with stakeholders.
Responsibilities
- Apply quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements.
- Maintain and continuously enhance capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks.
- Understand and execute activities that form the end-to-end model development and use life cycle.
- Perform end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers.
- Analyze and evaluate large and complex economic and financial datasets with analytical tools of Python, SQL and R.
- Perform quantitative modeling by utilizing advanced quantitative techniques and tools of statistical analysis, predictive modeling, linear regression, time series analysis, and machine learning.
- Utilize Python and SQL to conduct data analysis, estimate model coefficients, and aggregate the model results to generate comprehensive model outputs.
Other
- Master's degree or equivalent in Finance, Statistics, Mathematics, Financial Mathematics, or related: and
- 2 years of experience in the job offered or a related Quantitative occupation.
- 10% domestic travel required, as necessary.
- Remote work may be permitted within a commutable distance from the worksite.
