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:

• Conduct research and analysis to improve understanding and assessment of loan portfolios, models used, and forecast results.

• Develop, maintain, and execute forecasting models, quantitative methods, assumptions utilized in loss forecasting.

• Analyze large and complex datasets, and automate the process of data processing and feature engineering for analytical and modelling datasets.

• Identify and organize strategic change efforts across the forecasting team including new model deployment and analytical capability development.

• Complete the deployment of new analytic models, including comprehensive use-case planning, tactical build-out of required management information to aid in understanding model performance, and creation of thorough testing plans.

• Perform quantitative research by utilizing advanced machine learning techniques to support risk identification and loss forecasting.

• Use Python, R, and SAS to conduct quantitative analysis, estimate model performance, and aggregate the model results for different use cases.

• Function in a complex data environment and analyze large datasets across systems to reconciliate different results, validate system feeds, and generate reliable data source.

• Utilize JIRA and Git to collaborate across various teams to identify and resolve model and reporting issues, track progress, and conduct version control.

• Produce technical reports of publication quality with comprehensive risk coverage to support internal reviews and assess with stakeholders.

REQUIREMENTS:

• Master's degree or equivalent in Finance, Mathematics, Statistics, 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:

• Performing quantitative research by utilizing advanced machine learning techniques to support risk identification and loss forecasting;

• Using Python, R, and SAS to conduct quantitative analysis, estimate model performance, and aggregate the model results for different use cases;

• Functioning in a complex data environment and analyzing large datasets across systems to reconciliate different results, validate system feeds, and generate reliable data source;

• Utilizing JIRA and Git to collaborate across various teams to identify and resolve model and reporting issues, track progress, and conduct version control; and,

• Producing technical reports of publication quality with comprehensive risk coverage to support internal reviews and assess with stakeholders.

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:

40