Operations Research Analyst III
National Black MBA Association, New York, NY, United States
Job Overview
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, and applies or develops highly advanced technologies, scientific principles, theories and concepts.
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. 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. You will be responsible for bridging business strategy and data‑based customer insight through the application of analytic tools and techniques, and will work closely with internal product, marketing, credit strategies, risk, and finance partners across lines of business to understand 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 communication skills, especially with experience in technical writing.
Ability to translate complex business objectives and constraints into standard mathematical form.
Multi‑task and deliver high‑quality work under tight and demanding timelines.
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 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
Experience developing optimization models and analytic solutions – preferably in the financial services industry.
Experience with FICO Xpress Insight, 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 & Hours
1st shift (United States of America)
Hours Per Week: 40
Pay Transparency
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.
This role is eligible to participate in the annual discretionary plan.
This role is currently benefits eligible. We provide industry‑leading benefits, access to paid time off, and other resources to support employees to make a genuine impact and contribute to sustainable growth.
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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, and applies or develops highly advanced technologies, scientific principles, theories and concepts.
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. 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. You will be responsible for bridging business strategy and data‑based customer insight through the application of analytic tools and techniques, and will work closely with internal product, marketing, credit strategies, risk, and finance partners across lines of business to understand 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 communication skills, especially with experience in technical writing.
Ability to translate complex business objectives and constraints into standard mathematical form.
Multi‑task and deliver high‑quality work under tight and demanding timelines.
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 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
Experience developing optimization models and analytic solutions – preferably in the financial services industry.
Experience with FICO Xpress Insight, 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 & Hours
1st shift (United States of America)
Hours Per Week: 40
Pay Transparency
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.
This role is eligible to participate in the annual discretionary plan.
This role is currently benefits eligible. We provide industry‑leading benefits, access to paid time off, and other resources to support employees to make a genuine impact and contribute to sustainable growth.
#J-18808-Ljbffr