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Quantitative Operation Manager Jobs (NOW HIRING)

Join us! The Global Operations Resource Analytics team is seeking a quantitative professional to ... Ensures adherence to Model Risk Management (MRM) requirements * Supports ongoing model monitoring ...

NY · On-site

The Data & Modeling team in Global Operations Data, Reporting & Operations Management is looking for a motivated individual with strong quantitative skills and experience with time‑series ...

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Quantitative Operation Manager information

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$36.5K

$78.4K

$136.5K

How much do quantitative operation manager jobs pay per year?

As of Sep 14, 2026, the average yearly pay for quantitative operation manager in the United States is $78,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $92,000.00 per year, depending on experience, location, and employer.

What does a quantitative operation manager do?

A Quantitative Operation Manager oversees operations by leveraging data analysis, mathematical modeling, and quantitative methods to optimize processes and improve efficiency. They use statistical tools and performance metrics to identify trends, solve operational problems, and support decision-making. Their responsibilities often include managing teams, implementing process improvements, and ensuring that operations align with business goals. This role is critical in industries where data-driven decision-making can significantly impact productivity and cost-effectiveness.

What are the key skills and qualifications needed to thrive as a quantitative operation manager?

To thrive as a Quantitative Operation Manager, you need strong analytical skills, a background in finance, mathematics, or engineering, and experience in quantitative modeling or data analysis. Familiarity with programming languages like Python or R, data visualization tools, and advanced Excel skills are typically required, along with knowledge of operational risk systems or process optimization software. Excellent leadership, communication, and problem-solving abilities help drive cross-functional initiatives and manage teams effectively. These skills are crucial for optimizing operations, improving efficiency, and supporting data-driven decision-making in complex organizational environments.

How does a quantitative operation manager typically collaborate with cross-functional teams to implement data-driven strategies?

As a Quantitative Operation Manager, you will frequently work alongside data scientists, analysts, IT professionals, and business leaders to translate complex data insights into actionable operational strategies. This collaboration often involves leading meetings to define project goals, ensuring data integrity across departments, and aligning analytical models with business objectives. Strong communication skills are essential, as you’ll be responsible for bridging the gap between technical teams and executive management, ensuring all stakeholders are informed and engaged throughout project implementation.

What are popular job titles related to Quantitative Operation Manager jobs?

For Quantitative Operation Manager jobs, the most frequently searched job titles are:

Infographic showing various Quantitative Operation Manager job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $78,382 per year, or $37.7 per hour.

Quantitative Operations Associate - Volume & Capacity Modeler-Global Operations

Plano, TX • On-site

Bank of America
Finance and Insurance • 10K+ employees

Full-time

PTO

Re-posted 2 days ago


Bank Of America rating

8.3

Company rating: 8.3 out of 10

Based on 539 frontline employees who took The Breakroom Quiz


Job description

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 is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

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!

Job Description:
Responsible for developing quantitative/analytic models and applications in support of the firm's risk management effort. This role focuses on the development of operations/data management policies, strategies and operational guidelines for the organization's various financial products as they relate to the analysis, tracking, and reporting of various risk metrics. This role often possesses an advanced degree in physics, applied mathematics, statistics/probability or another heavy quantitative discipline. Quantitative analytic staff is focused on and responsible for the development of the theory and mathematics behind various models. Individual Contributor and reports to Quant Operations Manager

Job Summary

Global Operations Management Reporting & Analytics is looking for a motivated individual with strong quantitative skills and experience with time-series forecasting, capacity planning, simulation modeling, and/or operations research. This individual will be responsible for developing and maintaining strategic volume forecasting and capacity planning models with the goal of maintaining optimal staffing levels across Global Operations. In addition, the position will assist with efforts to ensure models adhere to Model Risk Management (MRM) standards. The ideal candidate will have a keen eye for detail, a strong sense for modeling complex operational systems, and excellent verbal and written communication skills. Responsibilities include:

  • Develop and maintain volume forecasting, capacity planning, and resource optimization models
  • Help modernize existing volume forecasting and capacity models using advanced predictive modeling, simulation and optimization techniques
  • Assist in driving volume and capacity modeling consistency and innovation across the team
  • Routinely partner with the Front Line Units (FLUs) to generate best in class outcomes
  • Conduct routine model production and performance presentations with executive leadership
  • Evaluate new opportunities and implement enhancements to current capacity model inputs, processes, and outputs
  • Help with documentation and other efforts to adhere to Model Risk Management (MRM) guidelines

Required Skills:

  • Bachelor's degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field
  • 2+ years of experience in quantitative roles modeling complex systems
  • Fundamental understanding of linear regression and time-series modeling, discrete event simulation, and optimization techniques, through education or professional experience
  • Proficient in MS Office, particularly Excel
  • Experience with SAS, Python, R, or similar statistical software
  • Experience with Arena or similar discrete event simulation software
  • Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software
  • Ability to work in a team-oriented environment with strong aptitude for problem solving and collaboration
  • Strong communication and interpersonal skills - specifically the ability to communicate complex ideas in a clear and concise manner to key stakeholders
  • Natural curiosity and drive to answer important business questions
  • High aptitude for self-motivation and self-determined project work in a fast-paced and rapidly changing environment

Desired Skills:

  • Master's degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field
  • Prior operational volume forecasting, capacity planning, or financial planning experience
  • Experience with Tableau or other data visualization software
  • Data mining experience using SQL/SAS querying
  • Prior Banking industry analytics and modeling experience, specifically with models that adhere to standards set by a risk management governing body

Skills:

  • Analytical Thinking
  • Business Intelligence
  • Data Modeling
  • Data Visualization
  • Data and Trend Analysis
  • Attention to Detail
  • Collaboration
  • Data Management
  • Data Mining
  • Presentation Skills
  • Consulting
  • Problem Solving
  • Risk Management
  • Stakeholder Management
  • Technical Documentation

Shift:

1st shift (United States of America)

Hours Per Week:

40

Pay Transparency details

US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540)Pay and benefits informationPay range$84,600.00 - $132,000.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis 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.BenefitsThis 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.

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About Bank Of America

Sourced by ZipRecruiter

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

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