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. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Responsibilities :

• Work on comprehensive machine learning findings use-case planning, design, testing (creation of thorough testing plans) and analysis.

• Work on tactical build-out of required management information which aide in understanding model performance in portfolio credit profile, risk trending and monitoring.

• Identify needs and requirements from the CLF team which improve the group’s ability to generate insights and understanding of portfolio risk, model accuracy and forecast reasonability.

• Research machine learning and data science techniques, assess potentials for use to effectively analyze and assess features with meaningful risk differentiating power.

• Conduct logical analyses of business, scientific, engineering, and other technical problems, formulating mathematical models of problems for solution by computers.

• Develop and execute statistical analysis workflows to analyze usefulness of customer level features in differentiating and identifying emerging risks for all consumer products.

• Develop and evaluate quantitative models and performing quantitative research by utilizing advanced analytical skills for credit risk use.

• Use Python, R, and SAS statistical packages to analyze customer financial health metrics and determine if they add incremental values in differentiating credit risks and can be utilized as emerging risk indicators.

• Analyze large datasets with hundreds of potentially useful customer financial health metrics to assess data qualities, detect data abnormalities/outliers and understand data distributions.

• Produce presentations to translate technical machine learning/statistical analyses and the resulting insight discoveries into laymen terms and business meanings with stakeholders and socialize how findings can be utilized to enhance credit risk management and emerging risk detection.

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

Required Skills & Experience:

• Master's degree or equivalent in Mathematics, Statistics, Computer Science, Engineering (Any) 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 and evaluating quantitative models and performing quantitative research by utilizing advanced analytical skills for credit risk use;

• Using Python, R, and SAS statistical packages to analyze customer financial health metrics and determine if they add incremental values in differentiating credit risks and can be utilized as emerging risk indicators;

• Analyzing large datasets with hundreds of potentially useful customer financial health metrics to assess data qualities, detect data abnormalities/outliers and understand data distributions; and,

• Producing presentations to translate technical machine learning/statistical analyses and the resulting insight discoveries into laymen terms and business meanings with stakeholders and socialize how findings can be utilized to enhance credit risk management and emerging risk detection.

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.

Salary: $152,000 - $162,000 per year

Employer: Bank of America N.A

Shift:

1st shift (United States of America)

Hours Per Week:

40