Quantitative Engineer Analyst

Quantitative Engineer Analyst

Charlotte, North Carolina;

Jersey City, New Jersey;
Atlanta, Georgia

** To proceed with your application, you must be at least 18 years of age.*
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** Bank of America employees are required to meet all*
* ** posting eligibility requirements*
* ** prior to applying for any new position.*
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** To proceed with your application, you must be at least 18 years of age.*
* Acknowledge ( )

** Bank of America employees are required to meet all*
* ** posting eligibility requirements*
* ** prior to applying for any new position.*
* Acknowledge ( )

*
* Job Description:

*
* 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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

** About Us Summary*
* Global Risk Analytics (GRA) is a sub-line of business within Global Risk Management (GRM). The GRA team provides quantitative capabilities supporting global risk management and capital management and develops a consistent set of risk and capital models, tests and analytical tools that support decision making across the bank.

** Job Profile Summary*
* This job is responsible for obtaining an understanding of bank processes - including underlying data, flows, and controls - and designing and implementing technical solutions to enhance Global Risk Management's (GRM) data, testing, and analytical capabilities.

Key responsibilities include collaborating with process owners, risk managers, and technologists to assess current state processes, underlying data, process flows and risks. Job expectations include building domain-specific expertise in bank processes and data, and applying a combination of software engineering, big data, data science and risk management skills to drive the technical solution implementation and automate processes.

** Responsibilities*
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** Analytical Thinking &

Risk Management:

** Apply critical thinking, sound judgment, risk management principles to understand business processes, controls, and risks to influence appropriate designs for technical solutions to business problems.

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** Stakeholder Engagement & Communication:
** Partner with process owners, data owners, Front Line Units, Technology teams, and other stakeholders to understand business requirements and build understanding of the firms processes and technology landscape.

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** Solution Development & Engineering:
** Leverage programming expertise, software development lifecycle (SDLC) principles, and AI development patterns to build and document scalable analytical solutions that support business objectives, regulatory requirements, and operational efficiency.

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** Data Engineering & Analytics:
** Source, validate, and analyze data while designing scalable data pipelines and analytical solutions across large and complex datasets. Apply quantitative and analytical techniques to identify trends, assess risk.

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** AI Governance & Operational Excellence:
** Understand governance, security, observability, and auditability control requirements for AI-enabled solutions including continuous monitoring of performance. Develop understanding on how to drive process…