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Bank Of America Risk Process Analyst United States, Georgia, Atlanta 512557107
Job Description
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 it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing its activities, GRA and EIT drive innovation, process improvement and automation.
Role Overview
The Risk Process Analyst works closely with teammates in GRA/EIT as well as model and process owners in the Lines of Business and Enterprise functions to obtain an understanding of portfolios and processes, including underlying data, flows, and controls, so that appropriate models, testing, and monitoring can be developed. Examples of day-to- day responsibilities a Risk Process Analyst may perform include:
Collaborate with key stakeholders across the Bank to identify risks and prioritize model and testing needs
Document and analyze modeling and testing requirements
Source and evaluate data required for modeling and testing
Design and develop models and tests
Document models and tests in a manner that is clear, concise and repeatable
Use programming skills and knowledge of software development lifecycle principles to write model and testing code
Execute models and tests
Provide reporting of model and test results
Communicate key modeling and testing insights to stakeholders across the Bank
Required Education
Undergraduate or masters degree from an accredited college or university
GPA of 3.5 or higher is preferred
Common areas of study include but are not limited to: Engineering, Mathematics, Statistics, Physics, Finance, Economics, Computer Science, Data Science, Accounting, Audit Management and Risk Management
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, and has attention to detail
Microsoft Office suite
Desired Skills and Experience
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
Experience implementing process improvements and automation
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