Bank Of America Vice President Quantitative Finance Analyst 

United States, New Jersey, Jersey City 

982851749

Responsibilities:

• Monitor and perform in-depth quantitative analysis on the bank’s risk model results and limitations with determined statistical metric or threshold, using various quantitative tools such as back testing, benchmarking, calibration monitoring, and sensitivity analysis.
• Build processes to support model monitoring routines, perform statistical model testing, analyze model test results, and perform risk assessment for model performance issues.
• Support the daily process around model monitoring process and maintenance, execution and exception analysis liaising with stakeholders to diagnose model performance issues.
• Work with the model development team to understand our model implementation and assess the impact of model limitations on our monitoring results.
• Pull together the overall holistic picture of model performance along with clear conclusions on overall accuracy and remediation areas as required.
• Drive incremental improvement to our model performance assessment toolset across all business areas through automation work, development of utilities, and enhancement of visualization tools, by utilizing programming skills in Python.
• Assist in the production and presentation of reporting packages and analysis.
• Communicate the results of analysis to all model stakeholders including risk management, model development, model risk, senior management governing committees and regulatory bodies.
• Develop model performance analytical toolset by utilizing programming skills in Python.
• Drive improvements to model performance assessment tool set across all business areas through data pipeline aggregation, automation work, development of utilities, and enhancement of visualization tools.
• Monitor complex financial models, and perform quantitative analysis to model results and limitations regularly with determined statistical metric or threshold.
• Perform in-depth statistical analysis on model performance using quantitative tools of benchmarking, calibration monitoring, and sensitivity analysis.
• 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 Engineering, 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 model performance analytical toolset by utilizing programming skills in Python;
• Driving improvements to model performance assessment tool set across all business areas through data pipeline aggregation, automation work, development of utilities, and enhancement of visualization tools;
• Monitoring complex financial models, and performing quantitative analysis to model results and limitations regularly with determined statistical metric or threshold; and,
• Performing in-depth statistical analysis on model performance using quantitative tools of benchmarking, calibration monitoring, and sensitivity analysis.

If interested apply online ator email your resume toand reference the job title of the role and requisition number.