Bank Of America Assistant Vice President Quantitative Finance Analyst 

United States, New Jersey, Jersey City 

828116962

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• 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.

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• 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.

If interested apply online at or email your resume to and reference the job title of the role and requisition number.

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