Bank of America
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Quantitative Engineer Analyst
role at Bank of America.
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.
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 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.
Job Responsibilities
Understanding financial data: schemas, flow, size, data issues, data controls, etc.
Building performant big data pipelines
Use programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes
Collaborate with key stakeholders across the Bank to understand modeling and testing business processes and requirements
Think outside the box of current industry standards to develop innovative approaches
Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks
Source and evaluate data required for modeling and testing
Design and develop and implement models and tests
Produce clear, concise and repeatable technical documentation on models and tests for internal and regulatory purposes
Skills
High level of intellectual curiosity
Feel 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
Ability to adjust to new conditions and changes effectively
Capacity to notice and consider all aspects or a task or project
Work effectively with others toward a common goal
Minimum Education Requirements
Bachelor’s degree in Computer Science, a closely related field, or a degree from a program where software engineering was a key focus
Qualifications
Strong Programming skills (e.g., Python)
Strong analytical and problem-solving skills
Digital fluency
Shift:
1st shift (United States of America)
Hours Per Week:
40
Seniority level:
Entry level
Employment type:
Full-time
Job function:
Research, Analyst, and Information Technology
Industry:
Banking
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Quantitative Engineer Analyst
role at Bank of America.
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.
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 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.
Job Responsibilities
Understanding financial data: schemas, flow, size, data issues, data controls, etc.
Building performant big data pipelines
Use programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes
Collaborate with key stakeholders across the Bank to understand modeling and testing business processes and requirements
Think outside the box of current industry standards to develop innovative approaches
Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks
Source and evaluate data required for modeling and testing
Design and develop and implement models and tests
Produce clear, concise and repeatable technical documentation on models and tests for internal and regulatory purposes
Skills
High level of intellectual curiosity
Feel 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
Ability to adjust to new conditions and changes effectively
Capacity to notice and consider all aspects or a task or project
Work effectively with others toward a common goal
Minimum Education Requirements
Bachelor’s degree in Computer Science, a closely related field, or a degree from a program where software engineering was a key focus
Qualifications
Strong Programming skills (e.g., Python)
Strong analytical and problem-solving skills
Digital fluency
Shift:
1st shift (United States of America)
Hours Per Week:
40
Seniority level:
Entry level
Employment type:
Full-time
Job function:
Research, Analyst, and Information Technology
Industry:
Banking
#J-18808-Ljbffr