Assistant Vice President; Quantitative Finance Analyst

validations to relevant businesses and governance and control functions.

• Escalate model use breaches and remediation plans to relevant governance committees.

• Conduct quantitative analytics and complex modeling projects.

• Validate new and existing models, analytic processes or system approaches, create documentation for all activities, and work with technology staff in use of any system to run models developed.

• Work cross‐functionally to enforce current model risk control procedures and serving as a subject matter expert to provide technical consultation to other analysts and to the MRM management for policy/procedure revisions/update.

• Apply statistical methods and programming skills to extract, transform, and analyze large and complex data.

• Perform quantitative analysis by using Python and R programming to apply stochastic calculus, statistical, and econometric models to the financial data.

• Employ statistical models of linear regression, logistic regression, and time series analysis to estimate the relationships between outcome variables and risk factors, enabling accurate predictions and forecasts.

• Apply computational methods to perform the numerical optimization for quantitative models and strategies with Python programming.

• Conduct research regarding financial products and financial markets by leveraging information from academic papers and the data from financial platforms including Bloomberg, FactSet, and Morningstar.

• Perform testing tasks for quantitative models and processes, automating the analytics and procedures, and visualizing the results by Python and VBA programming, to aid the efficiency and accuracy of work.

• 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:

• Applying statistical methods and programming skills to extract, transform, and analyze large and complex data;

• Performing quantitative analysis by using Python and R programming to apply stochastic calculus, statistical, and econometric models to the financial data;

• Employing statistical models of linear regression, logistic regression, and time series analysis to estimate the relationships between outcome variables and risk factors, enabling accurate predictions and forecasts;

• Applying computational methods to perform the numerical optimization for quantitative models and strategies with Python programming;

• Conducting research regarding financial products and financial markets by leveraging information from academic papers and the data from financial platforms including Bloomberg, FactSet, and Morningstar; and,

• Performing testing tasks for quantitative models and processes, automating the analytics and procedures, and visualizing the results by Python and VBA programming, to aid the efficiency and accuracy of work.

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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