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

• Develop and enhance operation of data products that provide benefit to key analytic and regulatory stakeholders.

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

• Ensure high level of quality in data products through careful attention to detail and curiosity about data anomalies.

• Communicate findings, gaps, and opportunities to all levels of the organization.

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

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

• Utilize Tableau, matplotlib, seaborn, and powerBI to create intricate and insightful visualizations from large datasets, enabling stakeholders to make data-driven decisions effectively.

• Conduct advanced analyses on large volumes of data to identify patterns, trends, and anomalies, providing valuable insights to inform strategic decision-making processes for business stakeholders.

• Employ data preparation tools to cleanse, transform, and integrate diverse datasets from multiple sources, ensuring data accuracy and consistency for sophisticated analytics.

• Apply advanced statistical techniques of classification and regression to extract meaningful insights from complex datasets and drive strategic decision-making processes.

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

Required Skills & Experience

• Master's degree or equivalent in Statistics, Mathematics, Data Science, 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 Tableau, matplotlib, seaborn, and powerBI to create intricate and insightful visualizations from large datasets, enabling stakeholders to make data-driven decisions effectively;

• Conducting advanced analyses on large volumes of data to identify patterns, trends, and anomalies, providing valuable insights to inform strategic decision-making processes for business stakeholders;

• Employing data preparation tools to cleanse, transform, and integrate diverse datasets from multiple sources, ensuring data accuracy and consistency for sophisticated analytics; and,

• Applying advanced statistical techniques of classification and regression to extract meaningful insights from complex datasets and drive strategic decision-making processes.

• The employer will accept pre- or post- Master's degree experience.

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: $118,500 - $142,800 per year.

Employer: Bank of America N.A.

Shift:

1st shift (United States of America)

Hours Per Week:

40