Vice President; Quantitative Finance Analyst

can build a successful career with opportunities to learn, grow, and make an impact. Join us!

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.

• Clearly document and effectively communicate quantitative methods as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, technology.

• 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.

• Support the planning related to setting quantitative work priorities in line with the bank's overall strategy and prioritization.

• Identify continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation.

• Support model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite.

• Analyze and evaluate large and complex economic and financial datasets with analytical tools of Python, SQL and R.

• Use data technologies of SQL to handle large volumes of data produced by complex financial forecasting models.

• 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.

• Utilize Latex to produce technical reports of publication quality with academic rigor and comprehensive risk coverage to support internal reviews and assess with stakeholders.

• Remote work may be permitted within a commutable distance from the worksite.

Required Skills & Experience

• 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.

• Must include 2 years of experience in each of the following:

• 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; and,

• Utilizing Latex to produce technical reports of publication quality with academic rigor and comprehensive risk coverage to support internal reviews and assess with stakeholders.

• 10% domestic travel required, as necessary.

If interested apply online at https://www.bankofamerica.com/careers or email your resume to [email protected] and reference the job title of the role and requisition number.

EMPLOYER: Bank of America N.A.

Shift:
1st shift (United States of America)

Hours Per Week:
40

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