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.

• Contribute to the software development lifecycle of products and services from inception stage through to the final implementation.
• Support our Corporate Treasury business in internal and regulatory liquidity and sensitivity reporting for the bank as part of an enterprise level program.
• Work closely with the developers to define, build and test the solution often working on multiple projects/work-streams at the same time.
• Ensure that software is developed to meet functional, non-functional, and compliance requirements.
• Analyze, design, and build a highly scalable, performance optimized, data-centric, distributed computing platform using Design thinking, R, Python, ETL, Hadoop, Impala, and Spark.
• Engineer and develop frameworks to automate complex mathematical and statistical projection models utilizing agile methodologies, version control and test-driven development approach.
• Design and implement data management framework inclusive of data lineage, data quality control and data dictionary using REST APIs, Hadoop, Impala, and Spark.
• Build Proof of Concepts and mockups utilizing wireframe tools like Microsoft Visio, Balsamiq and iRise.
• Leverage Alteryx and Tableau for data wrangling and analytics.
• Develop complex SQL scripts to support data modeling and data analysis.
• Remote work may be permitted within a commutable distance from the worksite.

• Master's degree or equivalent in Information Systems, 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:
• Analyzing, designing, and building a highly scalable, performance optimized, data-centric, distributed computing platform using Design thinking, R, Python, ETL, Hadoop, Impala, and Spark;
• Engineering and developing frameworks to automate complex mathematical and statistical projection models utilizing agile methodologies, version control and test-driven development approach;
• Designing and implementing data management framework inclusive of data lineage, data quality control and data dictionary using REST APIs, Hadoop, Impala, and Spark;
• Building Proof of Concepts and mockups utilizing wireframe tools like Microsoft Visio, Balsamiq and iRise;
• Leveraging Alteryx and Tableau for data wrangling and analytics; and,
• Developing complex SQL scripts to support data modeling and data analysis.