Bank Of America CFO Risk & Data Quality Testing Lead 

United States, North Carolina, Charlotte 

15263798

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
• Reporting

CFO Risk & Data Quality Testing Lead

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 OverviewThe 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.

Required Experience

• 5-7 years minimum experience in financial regulatory reporting, data, compliance, or risk functions

Required Skills

• High level of intellectual curiosity
• Proficiencies in leadership, teamwork, problem solving
• Feels ownership and accountability for delivering high quality work, able to prioritize effectively, adapt, and meet strict deadlines
• Strong written, verbal, presentation creation and delivery skills
• Well organized with attention to detail
• Good understanding of project management principles and takes ownership to ensure the quality of the deliverables
• Strong risk management and data quality mindset
• Willing to challenge the status quo and with a track record of driving change
• Advanced Microsoft Office skills

Desired 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
• 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

1st shift (United States of America)