Operations Research Analyst III
Bank of America, Charlotte, AR, United States
Job Description
Analyzes actual and predictable interacting operational activities of a business system to obtain quantitative, rational basis for decision making through the application of logic and scientific or economic disciplines and techniques. Devises modeling and measuring techniques; utilizes mathematics, statistical methods, engineering methods, operations research techniques (linear programming, game theory, probability theory, symbolic language, etc.) and other principles and laws of scientific and economic disciplines. The role is also responsible for mentoring and coaching Ops Research Analysts I and II. Exhibits an exceptional degree of ingenuity, creativity, and resourcefulness. Apply and/or develop highly advanced technologies, scientific principles, theories, and concepts. Viewed as expert within the field. Develops information that extends knowledge in a given field. Information may form the basis of newly developed concepts, theories and products. Often acts independently to uncover and resolve issues associated with the development and implementation of ops programs. Plans R&D programs and recommends technological application programs to accomplish long‑range objectives.
About the Team
At Bank of America, data drives the decision‑making process. The Enterprise Operations Research (EOR) team works across the organization to help shape Bank of America’s business by developing optimizations, discrete event simulations and other quantitative techniques that provide actionable data to inform the strategic direction of the organization’s financial products and operations.
Specific Responsibilities
Leading projects with hands‑on analysis and quantitative modeling, drawing from a breadth of operations research methods to choose the right tool and the right level of complexity to solve Bank of America’s most challenging business problems.
Engaging broadly with the organization to identify, prioritize and structure complex, ambiguous problems where advanced quantitative models and analytic solutions can have the biggest impact.
Identifying and communicating the challenges and opportunities associated with each business problem to an executive audience, informing the decision‑making process.
Building, documenting, implementing, and maintaining complex quantitative models and analytic solutions.
Providing production support to existing optimization models.
Achieving approval and validation of models through governance and compliance processes.
Developing and applying advanced mathematical and statistical models to solve operational problems.
Conducting quantitative analysis of business systems to identify optimization opportunities.
Designing and implementing simulation models to evaluate process performance and outcomes.
Interpreting complex data sets and translating findings into actionable recommendations.
Collaborating with cross‑functional teams to integrate research insights into operational strategies.
Ensuring accuracy, scalability, and integrity of analytical models and methodologies.
Contributing to knowledge sharing within the team.
Job Requirements
As an Operations Research Analyst on the Enterprise Operations Research (EOR) Team, the successful candidate will make individual contributions to providing optimization modeling and analytic solutions to Bank of America’s marketing and operational challenges. You will be responsible for bridging business strategy and data‑based customer insight through the application of analytic tools and techniques. You will work closely with internal product, marketing, credit strategies, risk, and finance partners (credit card acquisitions, credit lifecycle management, and other lines of business) to understand business requirements, identify opportunities for improvement, and inform decision‑making.
Required Qualifications
Experience in formulating, building, and solving optimization problems.
A passion to analyze and solve complex mathematical/optimization problems.
Robust written and verbal communications skills, especially with experience in technical writing.
Translate complex business objectives and constraints into standard mathematical form.
Multi‑task and deliver high quality work under tight and demanding timelines.
Synthesize complex analytical results and present in a business‑relevant manner.
Strong analytic and data mining skills.
Programming experience – specifically with Python, SQL, or optimization software packages such as FICO Xpress and Gurobi.
Advanced MS Excel and PowerPoint skillset.
Attention to Detail.
Business Analytics.
Data Visualization.
Data and Trend Analysis.
Strategic Thinking.
Data Modeling.
Process Design.
Research Analysis.
Automation.
Data Management.
Result Orientation.
Scenario Planning and Analysis.
Simulation.
AI Fluency.
Desired Qualifications
Developing optimization models and analytic solutions – preferably in the financial services industry.
Experience with FICO Xpress Insight.
Experience with other optimization and simulation software packages such as SAS OR, CPLEX, Python, and Gurobi.
Experience with data visualization software such as Tableau.
Experience with agentic coding.
Education Requirements
Advanced degree and experience in the field of operations research, mathematics, probability/statistics, or equivalent work experience.
Shift
1st shift (United States of America)
Hours Per Week
40
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Analyzes actual and predictable interacting operational activities of a business system to obtain quantitative, rational basis for decision making through the application of logic and scientific or economic disciplines and techniques. Devises modeling and measuring techniques; utilizes mathematics, statistical methods, engineering methods, operations research techniques (linear programming, game theory, probability theory, symbolic language, etc.) and other principles and laws of scientific and economic disciplines. The role is also responsible for mentoring and coaching Ops Research Analysts I and II. Exhibits an exceptional degree of ingenuity, creativity, and resourcefulness. Apply and/or develop highly advanced technologies, scientific principles, theories, and concepts. Viewed as expert within the field. Develops information that extends knowledge in a given field. Information may form the basis of newly developed concepts, theories and products. Often acts independently to uncover and resolve issues associated with the development and implementation of ops programs. Plans R&D programs and recommends technological application programs to accomplish long‑range objectives.
About the Team
At Bank of America, data drives the decision‑making process. The Enterprise Operations Research (EOR) team works across the organization to help shape Bank of America’s business by developing optimizations, discrete event simulations and other quantitative techniques that provide actionable data to inform the strategic direction of the organization’s financial products and operations.
Specific Responsibilities
Leading projects with hands‑on analysis and quantitative modeling, drawing from a breadth of operations research methods to choose the right tool and the right level of complexity to solve Bank of America’s most challenging business problems.
Engaging broadly with the organization to identify, prioritize and structure complex, ambiguous problems where advanced quantitative models and analytic solutions can have the biggest impact.
Identifying and communicating the challenges and opportunities associated with each business problem to an executive audience, informing the decision‑making process.
Building, documenting, implementing, and maintaining complex quantitative models and analytic solutions.
Providing production support to existing optimization models.
Achieving approval and validation of models through governance and compliance processes.
Developing and applying advanced mathematical and statistical models to solve operational problems.
Conducting quantitative analysis of business systems to identify optimization opportunities.
Designing and implementing simulation models to evaluate process performance and outcomes.
Interpreting complex data sets and translating findings into actionable recommendations.
Collaborating with cross‑functional teams to integrate research insights into operational strategies.
Ensuring accuracy, scalability, and integrity of analytical models and methodologies.
Contributing to knowledge sharing within the team.
Job Requirements
As an Operations Research Analyst on the Enterprise Operations Research (EOR) Team, the successful candidate will make individual contributions to providing optimization modeling and analytic solutions to Bank of America’s marketing and operational challenges. You will be responsible for bridging business strategy and data‑based customer insight through the application of analytic tools and techniques. You will work closely with internal product, marketing, credit strategies, risk, and finance partners (credit card acquisitions, credit lifecycle management, and other lines of business) to understand business requirements, identify opportunities for improvement, and inform decision‑making.
Required Qualifications
Experience in formulating, building, and solving optimization problems.
A passion to analyze and solve complex mathematical/optimization problems.
Robust written and verbal communications skills, especially with experience in technical writing.
Translate complex business objectives and constraints into standard mathematical form.
Multi‑task and deliver high quality work under tight and demanding timelines.
Synthesize complex analytical results and present in a business‑relevant manner.
Strong analytic and data mining skills.
Programming experience – specifically with Python, SQL, or optimization software packages such as FICO Xpress and Gurobi.
Advanced MS Excel and PowerPoint skillset.
Attention to Detail.
Business Analytics.
Data Visualization.
Data and Trend Analysis.
Strategic Thinking.
Data Modeling.
Process Design.
Research Analysis.
Automation.
Data Management.
Result Orientation.
Scenario Planning and Analysis.
Simulation.
AI Fluency.
Desired Qualifications
Developing optimization models and analytic solutions – preferably in the financial services industry.
Experience with FICO Xpress Insight.
Experience with other optimization and simulation software packages such as SAS OR, CPLEX, Python, and Gurobi.
Experience with data visualization software such as Tableau.
Experience with agentic coding.
Education Requirements
Advanced degree and experience in the field of operations research, mathematics, probability/statistics, or equivalent work experience.
Shift
1st shift (United States of America)
Hours Per Week
40
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