Quantitative Engineer Analyst

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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!

Quantitative Engineer Analyst is the entry level role to becoming a Quantitative Engineer. Quantitative engineers in Global Risk are responsible for designing and implementing common, reusable, and scalable software components. These components enable GRM's data and analytical capabilities. These components can be domain independent (e.g., generic data quality tools over trillions of rows of data) or domain specific (e.g., classification models for surveillance or testing framework for Global Markets processes).

Quantitative engineers work with modelers, risk managers, and technologists to understand the current state and design the future state of data and analytics. Quantitative engineers have a combination of software engineering, big data, and modeling skills and the ability to work across the entire spectrum of a big data stack - from data to logic to model to UI to UX.

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.

• 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

• 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

• Bachelor's degree in Computer Science, a closely related field, or a degree from a program where software engineering was a key focus

• Strong Programming skills (e.g., Python)
• Strong analytical and problem-solving skills
• Digital fluency

1st shift (United States of America)

40

US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540)

Pay and benefits information

Pay range

$65,000.00 - $76,400.00 annualized salary, offers to be determined based on experience, education and skill set.

Predictable pay

This role is compensated with a base salary and is not incentive eligible.

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.