
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.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
RESPONSIBILITIES:
Conduct quantitative analytics and model projects.
Develop new models, analytic processes or systems approaches.
Create documentation for all activities and working with Technology staff in design of any system to run models developed.
Support Product Executives in the implementation of a multi-year Data Strategy Program.
Undertake data governance processes and handling data framework, including but not limit to Enterprise Data Management (EDM) standards adherence, handle centralized documentation library (EDM templates, DSNSLA agreements, etc.) and partner with LOBs to maintain Data Lineage and Process Workflow documentation.
Undertake EDM submission process in partnership with LOBs and run the current automated technology solutions for data lineage visualization.
Execute on Authorized Data Source (ADS) Data Sourcing and Provision strategy, in alignment with Enterprise Data Management and Global Risk objectives.
Perform quantitative financial modeling by utilizing advanced quantitative techniques and tools of statistical analysis, predictive modeling, linear regressions, and Machine Learning.
Utilize Python, PySpark, and SQL to conduct data analysis, estimate model coefficients, and aggregate the model results to generate comprehensive model outputs.
Utilize Toad, Trifacta, Starburst, and Jira to test and improve processes and controls for mortgage applications based on the regulatory requirements.
Develop data visualization tools using Tableau to analyze and present data in order to support model development of mortgage loan loss forecast.
Employ data analytics and visualization tools Alteryx, Tableau, and Jupyter Notebook to build easy access analytical capabilities and insightful reporting for the management.
Remote work may be permitted within a commutable distance from the worksite.
REQUIREMENTS:
Master's degree or equivalent in Statistics, Mathematics, Computer Science, Information Systems, 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:
Performing quantitative financial modeling by utilizing advanced quantitative techniques and tools of statistical analysis, predictive modeling, linear regressions, and Machine Learning;
Utilizing Python, PySpark, and SQL to conduct data analysis, estimate model coefficients, and aggregate the model results to generate comprehensive model outputs;
Utilizing Toad, Trifacta, Starburst, and Jira to test and improve processes and controls for mortgage applications based on the regulatory requirements;
Developing data visualization tools using Tableau to analyze and present data in order to support model development of mortgage loan loss forecast; and,
Employing data analytics and visualization tools Alteryx, Tableau, and Jupyter Notebook to build easy access analytical capabilities and insightful reporting for the management.
If interested apply online at www.bankofamerica.com/careers or email your resume to bofajobs@bofa.com 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:
40Learn more about this role