Operations Research Analyst III
Bank of America, Newark, DE, United States
Job Description Analyzes actual and predictable interacting operational activities of a business system to obtain a 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. Applies and/or develops 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.
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. As a member of the EOR team, the successful candidate does more than build quantitative models and crunch numbers. The successful candidate works with finance, product managers, pricing, marketing, and operations managers to improve Bank of America’s products, policies, operations, and customer interactions. The job is technically demanding and requires a specialized quantitative skill set. An Operations Research Analyst develops the theory and mathematical formulations supporting analytic solutions and quantitative models.
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. They will bridge business strategy and data‑based customer insight through the application of analytic tools and techniques, working closely with internal product, marketing, credit strategies, risk and finance partners across lines of business.
Required Qualifications Experience in formulating, building and solving optimization problems.
A passion to analyze and solve complex mathematical/optimization problems.
Robust written and verbal communication skills, especially with experience in technical writing.
Ability to translate complex business objectives and constraints into a standard mathematical form.
Ability to multi‑task and deliver high‑quality work under tight and demanding timelines.
Skill in synthesizing complex analytical results and presenting them 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 skill set.
Attention to detail.
Business analytics aptitude.
Data visualization proficiency.
Data and trend analysis skills.
Strategic thinking.
Data modeling knowledge.
Process design experience.
Research analysis capability.
Automation skills.
Data management experience.
Result orientation.
Scenario planning and analysis competence.
Simulation expertise.
AI fluency.
Desired Qualifications Experience 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
Pay Transparency Details US - NY - New York - 1114 Avenue Of The Americas - Grace (NY1544)
Pay Range $118,500.00 - $165,100.00 annualized salary, offers to be determined based on experience, education and skill set.
Benefits Discretionary incentive eligible: This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group, and the overall success of the company.
Benefits eligible: We provide industry‑leading benefits, access to paid time off, resources and support to employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.
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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. As a member of the EOR team, the successful candidate does more than build quantitative models and crunch numbers. The successful candidate works with finance, product managers, pricing, marketing, and operations managers to improve Bank of America’s products, policies, operations, and customer interactions. The job is technically demanding and requires a specialized quantitative skill set. An Operations Research Analyst develops the theory and mathematical formulations supporting analytic solutions and quantitative models.
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. They will bridge business strategy and data‑based customer insight through the application of analytic tools and techniques, working closely with internal product, marketing, credit strategies, risk and finance partners across lines of business.
Required Qualifications Experience in formulating, building and solving optimization problems.
A passion to analyze and solve complex mathematical/optimization problems.
Robust written and verbal communication skills, especially with experience in technical writing.
Ability to translate complex business objectives and constraints into a standard mathematical form.
Ability to multi‑task and deliver high‑quality work under tight and demanding timelines.
Skill in synthesizing complex analytical results and presenting them 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 skill set.
Attention to detail.
Business analytics aptitude.
Data visualization proficiency.
Data and trend analysis skills.
Strategic thinking.
Data modeling knowledge.
Process design experience.
Research analysis capability.
Automation skills.
Data management experience.
Result orientation.
Scenario planning and analysis competence.
Simulation expertise.
AI fluency.
Desired Qualifications Experience 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
Pay Transparency Details US - NY - New York - 1114 Avenue Of The Americas - Grace (NY1544)
Pay Range $118,500.00 - $165,100.00 annualized salary, offers to be determined based on experience, education and skill set.
Benefits Discretionary incentive eligible: This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group, and the overall success of the company.
Benefits eligible: We provide industry‑leading benefits, access to paid time off, resources and support to employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.
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