Job Description:
Job Description:
This job is responsible for accurate and timely development of manual and automated testing and/or supporting operational and administrative activities related to the end to end test development process. Key responsibilities of the job include evaluating test structure to determine automation viability, accessing pertinent databases to source testing data, and collaborating with Compliance and Operational Risk officers and/or Front Line Unit (FLU) process owners to design sampling and test procedures that support the test objective and ensure the repeatability and reliability of the testing.
Responsibilities:
Designs independent testing on a team in support of coverage needs identified by Compliance and Operational Risk officers and/or Front Line Unit process owners, inclusive of transactional, qualitative, onsite, employee quality review, and surveillance testing
Assesses databases and documentation from internal and external sources to develop data extract, sampling, and testing procedures, working closely with Front Line Unit data contacts and subject matter experts
Collaborates with Compliance and Operational Risk officers and/or Front Line Unit process owners to design sampling and test procedures that support the test objective and ensure the repeatability and reliability of the testing
Manages the quality of the test design process in accordance with the Independent Testing Enterprise Policy and Standard
Skills:
Adaptability
Attention to Detail
Collaboration
Monitoring, Surveillance, and Testing
Problem Solving
Application Development
Data Collection and Entry
Data Privacy and Protection
Influence
Issue Management
Automation
Business Intelligence
Interpret Relevant Laws, Rules, and Regulations
Quality Assurance
Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) are sub-lines of business within Global Risk Management (GRM). Collectively, they are responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA and EIT partner with the Lines of Business and Enterprise functions to ensure the capabilities they build address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing their activities, GRA and EIT drive innovation, process improvement and automation.
Role Overview
This role requires partnering effectively with Global Compliance Operational Risk (GCOR), as well as various teams within GRA/EIT who provide operational, data sourcing, and technology infrastructure support. The outputs of the methodologies will be used to drive process improvements and timely detection of errors.
The Data Quality Testing Lead provides data testing oversight, resource management, and escalation/resolution of test execution issues, as needed, to ensure timely, complete and seamless execution of data quality tests.
The role requires critical thinking and willingness to dig into the details of both existing and new methodologies to ensure they are fit for purpose. The candidate must be a strong communicator and able to effectively explain the rationale and details of the methodologies to a broad set of audiences that include key senior stakeholders across the Bank, as well as auditors and regulators.
Desired Education, Skills, and Experience
Bachelor’s degrees or above in fields including but not limited to: Finance, Economics, Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science, Accounting, Business Administration
5-7 years minimum experience in regulatory reporting, data, compliance, or risk functions
Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions
Programming skills (e.g., Python) and solid understanding of Software Development Life cycle principles
Knowledge of financial services industry and related regulations
Digital fluency
Required Skills
Adept at detecting and remediating organizational / process weaknesses and deficiencies
Feels ownership and accountability for delivering high quality work, able to balance multiple priorities and meet strict deadlines
Strong written, verbal, presentation creation and delivery skills
Well organized with attention to detail
Ability to manage teams to deliver high quality work in a timely manner
Willing to challenge the status quo and with a track record of driving change
Experience implementing process improvements and automation
Intellectual curiosity
Strong data quality mindset
Advanced Microsoft Office skills
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