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:

• Enable analysis, modeling, and optimization through producing information products.

• Support the creation of sophisticated, value-added analytic systems that support revenue generation, risk management, operational efficiency, regulatory compliance, portfolio management, and research.

• Support creation of systems that overcome issues of complex data as well as deployment of advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to deliver insights.

• Develop graph/network data models to perform network analysis on transaction data to deliver business insights.

• Utilize SQL to curate large volumes of data, perform statistical analysis and data engineering.

• Utilize Python to develop, deploy and maintain predictive models.

• Implement graph theory algorithms and perform network analyses on large volumes of transaction and credit data.

• Use advanced data analysis techniques including text mining and Natural Language Processing (NLP) to curate data and solve business problems.

• Implement advanced high-performance Python code for large-scale distributed computing environments using multiprocessing in Python.

• Create data mining, data processing and data analytical and visualization tools using Python and Tableau to gain business insight from the data.

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

Required Skills & Experience:

• Master's degree or equivalent in Mathematics, Statistics, Data Science, and Business Analytics 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:

• Utilizing SQL to curate large volumes of data, perform statistical analysis and data engineering;

• Utilizing Python to develop, deploy and maintain predictive models;

• Implementing graph theory algorithms and perform network analyses on large volumes of transaction and credit data;

• Using advanced data analysis techniques including text mining and Natural Language Processing (NLP) to curate data and solve business problems;

• Implementing advanced high-performance Python code for largescale distributed computing environments using multiprocessing in Python; and,

• Creating data mining, data processing and data analytical and visualization tools using Python and Tableau to gain business insight from the data.

• 10% domestic or international travel, as required.

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:

Hours Per Week: