Product Production Support

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

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  Embodies EIT core skills: critical thinking, decisiveness, enterprise mindset, proactivity, project management, risk management, adaptability, collaboration, customer and client focus, effective written and verbal communication, and control rigor and discipline

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  Partners effectively with process and data owners in the FLUs/CFs, risk managers, Global Compliance Operational Risk (GCOR), and various teams within EIT that provide operational, data sourcing, and technology infrastructure support. Methodology outputs are used to drive process improvements and timely detection and reporting of errors

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  Uses methodology outputs, including analytical tools and testing scripts, to drive process improvements and timely detection of errors

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  Communicates effectively to explain the rationale, methodology details, and results to a broad set of audiences, including key senior stakeholders across the Bank, auditors, and regulators

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  Applies experience in process and operational excellence

Required Education & Experience:

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  Bachelor’s degree or above in fields including, but not limited to, Finance, Economics, Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science, Accounting, or Business Administration, or equivalent work experience

Required Skills:

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  Understanding of SAS programming (ability to interpret SAS logs)

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  Strong experience with UNIX/Linux environments

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  Experience supporting batch processes (Autosys or similar scheduler)

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  Ability to troubleshoot and debug production issues

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  SQL experience (preferred)

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  Process Design: Ability to understand how work is executed within an organization, evaluate efficiencies, and identify areas for overall process improvement and growth

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  Test Development: Ability to design and document tests used to measure the effectiveness of the Bank’s processes and controls, as well as adherence to applicable laws, rules, regulations, and internal policies and procedures

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  Test Reporting: Ability to produce testing results, reporting, and data-driven insights for the test inventory

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  Test Development Life Cycle: Understands the end-to-end test development life cycle, from test request to development, execution, and dissemination of results. Collaborates with cross-functional teams to meet testing objectives

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  Programming Languages: Strong computational programming skills using programming languages or scripts such as Spark, R, C, Java, YAML, and others

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  Python: Strong programming skills using Python and its packages

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  Software Engineering: Understands the software engineering life cycle and can apply it to daily coding activities

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  Database Administration: Experience developing and maintaining complex databases and data sets

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  Automation: Ability to design, deploy, and refine predictive programming algorithms to minimize repetitive tasks and increase capacity by using real-time data to recognize patterns

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  Business Acumen and Domain Knowledge: Deep understanding of the product, the underlying business, and associated technical domains

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  Problem Solving: Approaches challenges creatively and effectively, even under constraints

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  Growth Mindset: Continuously explores new technologies, frameworks, and best practices to stay ahead of industry trends

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  Attention to Detail: Writes clean, maintainable code and proactively identifies and resolves issues