Bank of America-posted 7 days ago
Full-time • Mid Level
Onsite • Charlotte, NC
5,001-10,000 employees

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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Team Overview 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 The CFO Risk & Data Quality Testing Senior Data Architect is accountable for facilitating and guiding the Domain/Product Data Testing team in adopting and implementing the Scrum framework, removing impediments, promoting collaboration and ensuring adherence to set milestones, tool management (JIRA) and reporting. 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 CFO Risk & Data Quality Testing Senior Data Architect collaborates with process owners in the Front Line Units and Control Functions (FLUs/CFs) and Data/Technology partners to understand their processes, identify risks to successful execution, and prioritize/plan for the development of methodologies (e.g., models, analytical tools, and testing scripts) used to evaluate the effectiveness of processes and controls, data accuracy, and adherence to applicable Laws/Rules/Regulations, policies, and procedures. 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.

  • 7-10 years minimum experience in data, compliance, or risk functions
  • 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
  • Willing to challenge the status quo and with a track record of driving change
  • Experience implementing process improvements and automation
  • Intellectual curiosity
  • Strong risk management and data quality mindset
  • Advanced Microsoft Office skills
  • Knowledge of financial services industry and related regulations
  • 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 Scrum and Agile principles
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