Quantitative Operations Associate - Volume & Capacity Modeler

Bank of America; Chandler (AZ); On-site; USD 85,000 - 131,000; Full time

Benefits offered by this job

Discretionary incentive

Benefits

Job summary

Bank of America in Chicago, IL is seeking a Data & Modeling - Resource Analytics professional to develop and maintain staff forecasting and capacity models. You will partner with Front Line Units, present to executives, and drive improvements across the analytics team.

The role emphasizes quantitative modeling, collaboration, and adherence to Model Risk Management standards in a fast-paced environment.

Qualifications

• Bachelor’s degree in Statistics, Applied Economics, OR STEM field.
• 2+ years in quantitative roles modeling complex processes.
• Knowledge of linear regression, time-series, simulation, or optimization techniques.
• Proficient in Excel.
• Experience with Copilot.
• Experience with SAS/Python/R.
• Strong teamwork and communication.
• Ability to solve problems and drive results.

Responsibilities

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

Skills

Analytical Thinking

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

Education

Bachelor’s degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or STEM

Master’s degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or STEM

Tools

SAS

Python

R

Tableau

Arena

SQL

GAMS

CPLEX

XPRESS

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 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!

Job Description

Description & Responsibilities

The Data & Modeling - Resource Analytics team in Global Operations Data, Reporting & Operations Management 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
• Routinely partner with Front Line Units (FLUs) to ensure model accuracy
• Conduct routine model production and performance presentations with executive leadership
• Evaluate new opportunities and implement enhancements to current capacity model inputs, processes, and outputs
• Assist in driving volume and capacity modeling consistency and innovation across the team
• Help modernize existing volume forecasting and capacity models using advanced predictive modeling, simulation and optimization techniques
• 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 processes
• Fundamental understanding of linear regression and time‑series modeling, discrete event simulation, and/or optimization techniques, through education or professional experience
• Proficient in MS Office, particularly Excel
• Experience with Copilot
• Experience with SAS, Python, R, or similar statistical 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 Arena or similar discrete event simulation software
• Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software
• 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 information

Pay range

$84,600.00 - $130,800.00 annualized salary, offers to be determined based on experience, education and skill set.

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

This 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.