Assistant Vice President; Quantitative Finance Analyst

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

RESPONSIBILITIES:

• Develop and deliver modeling solutions and analytical tools for risk management and to address regulatory requirements.
• Provide quantitative expertise for a broad range of modeling areas across the Enterprise.
• Conduct research and analysis to provide a micro view of risk management in a particular business line and a macro view of risk management for the bank.
• Pro-actively work with stakeholders across the company to collect requirements and then identify and build modelling solutions to meet them; and effectively communicate those solutions to the stakeholders.
• Work with the Technology staff in design of any system to run models developed; and implement solutions applying both qualitative and quantitative methods.
• Develop loss forecasting models through comprehensive model design, data research, estimation, and documentation.
• Apply statistical inference of linear regressions and logistic regressions for model development and validation.
• Perform model diagnostics, reviewing model conceptual soundness and assessing model performance by utilizing Python for statistical programming/testing.
• Use SQL, Python, and Spark to handle large and complex data sets to develop and implement models.
• Produce technical reports of publication quality with academic rigor and comprehensive risk coverage to support internal reviews and assess with external stakeholders.
• Remote work may be permitted within a commutable distance from the worksite.

• Master's degree or equivalent in Finance, Statistics, Mathematics, Business Intelligence and Data Analytics, or related and
• 2 years of experience in the job offered or a related Quantitative occupation.
• Must include 2 years of experience in each of the following:
• Developing loss forecasting models through comprehensive model design, data research, estimation, and documentation;
• Applying statistical inference of linear regressions and logistic regressions for model development and validation;
• Performing model diagnostics, reviewing model conceptual soundness and assessing model performance by utilizing Python for statistical programming/testing;
• Using SQL, Python, and Spark to handle large and complex data sets to develop and implement models; and,
• Producing technical reports of publication quality with academic rigor and comprehensive risk coverage to support internal reviews and assess with external stakeholders.