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Job Description:
Job Description:
The Test Automation team is part of the Data, Infrastructure & Strategic Initiatives organization that provides foundational capabilities for Enterprise Independent Testing (EIT), which is the center of excellence that conducts independent testing globally across the company. EIT has established itself as the enterprise utility to test all end-to-end processes on behalf of Second Line of Defense, Frontline Units (FLUs) and Control Functions (CFs), enabling more efficient and effective testing. EIT is transforming the way testing is built and executed with digital transformation, implementing automation and leveraging cutting edge Artificial Intelligence/Natural Language Processing technologies. EIT carries a portfolio of 8,000+ tests and has a global footprint of testing professionals across the United States, Europe, Asia and Latin America as well as Global Business Services (GBS) associates.
The Test Automation team is responsible for developing Regulatory Risk and Compliance testing Automation and this specialist will be required to understand test requirements and data flows and implement corresponding tests in Python. As part of the implementation, the focus will be on the development of modular, re-usable testing algorithms and leveraging machine learning techniques to enable data driven test population identification.
Role Overview:
As an Automation Specialist, main responsibilities will involve:
Developing testing automation that provide timely, useful, and actionable independent insight on the operational health of Bank of America’s processes.
Work closely with process owners in the Front-Line Units and Control Functions (FLUs/CFs) to obtain an understanding of their processes, including underlying data, flows, and controls, and to identify risks to successful execution, so that appropriate testing and monitoring can be developed.
The processes to be assessed span across multiple Products, Regulations and Enterprise Processes. The outputs of the methodologies will be used to drive process improvements and timely detection and reporting of errors.
The role requires being able to document and verbally explain the intuition and details behind the methodologies in a manner that is clear, concise, and consumable for a broad set of audiences that include key stakeholders across the Bank, as well as auditors and regulators.
The Test Tools and Automation specialist will then convert the test requirements into automated tests via Python and SQL. They will also be leveraging machine learning techniques to enable data driven testing approaches.
Enabling automatic test document generation from code
Leverage SDLC/Agile development, understand Coding standards and best practices.
Required Education & Experience:
Bachelor’s degrees or above in fields including but not limited to: Data Science, Business Analytics, Business Management, Mathematics, Computer Science, Operations Research, Industrial Engineering or related subjects
2+ years of relevant work experience
Required Skills:
Intellectual Curiosity
Applies critical thinking and connects the dots on how processes relate to one another.
Demonstrates understanding of and passion for the “why”.
Looks around the corner, explores uncharted territories with an “outside-in” perspective.
Life-long learner who not only assertively educates self, but encourages others to learn and grow.
Feels ownership and accountability for delivering high quality work, able to prioritize effectively, adapt, and meet strict deadlines.
Ability to recommend and implement process control improvements.
Executive Interaction & Communication
Strong written, verbal, presentation creation and delivery skills.
Communications are timely, concise, easy to follow and tailored to topic, audience, and competing priorities.
Exercises excellent judgment, discerning appropriate moments to challenge or insert point of view.
Presentations tell a compelling story and influence action.
Asks the next level of questions, applies context to determine direction.
Technical Skills:
Prior Knowledge of Python and SQL
Working knowledge of relational database and familiarity with data analysis/ mining tools, prior exposure to working with large dataset beneficial
Technical Experience in object-oriented or functional software development
Desired Skills:
Experience using large data tooling including Hadoop and S3 as well as Spark and Trino
Experience building unit and integration tests with Pytest
Skills:
Application Development
Automation
DevOps Practices
Production Support
Technical Strategy Development
Agile Practices
Data Mining
Data Visualization
Issue Management
Solution Delivery Process
Quality Assurance
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