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.

• Develop and deliver end to end software solutions to accomplish business goals.
• Participate in design, development, and implementation of solutions aligning to stakeholder's business goals.
• Develop design solutions, test scenarios, and ensure the solution can be integrated successfully into the overall application/system with clear, robust, and well-tested interfaces.
• Contribute to story refinement and define requirements.
• Participate in estimating work necessary to realize a story/requirement through the delivery lifecycle.
• Design production ready software using web, cloud, and distributed technologies including Apache Spark, Hadoop, Tableau, R Studio, and Microstrategy.
• Enhance current Enterprise Data warehouse systems to handle increased traffic and larger datasets with cutting edge technologies including Apache Spark, Machine Learning MLlib, and Data Frames.
• Develop PL/SQL packages to incorporate complex Wholesale Credit logical calculations in Oracle for regulatory reporting.
• Utilize extracting analytical reports and debug enterprise wholesale credit data in data warehouses and data marts hosted in Apache Hive and Apache Impala.
• Implement machine learning techniques including Linear and Logistic Regression, Clustering, and Anomaly detection to identify the data point and data gaps in Client and Wholesale Credit data.
• Remote work may be permitted within a commutable distance from the worksite.

• Master's degree or equivalent in Information Technology and Management, Computer Science, Computer Information Systems, Management Information Systems, Engineering (any), or related; and
• 3 years of experience in the job offered or a related IT occupation.
• Must include 3 years of experience in each of the following:
• Designing production ready software using web, cloud, and distributed technologies including Apache Spark, Hadoop, Tableau, R studio, and Microstrategy;
• Enhancing current Enterprise Data warehouse systems to handle increased traffic and larger datasets with cutting edge technologies including Apache Spark, Machine Learning MLlib, and Data Frames;
• Developing PL/SQL packages to incorporate complex Wholesale Credit logical calculations in Oracle for regulatory reporting;
• Utilizing extracting analytical reports and debugging enterprise wholesale credit data in data warehouses and data marts hosted in Apache Hive and Apache Impala; and,
• Implementing machine learning techniques including Linear and Logistic Regression, Clustering, and Anomaly detection to identify the data point and data gaps in Client and Wholesale Credit data.