Capacity Modeling & Forecasting Analyst

Bank of America; Chandler (AZ); On-site; USD 120,000 - 170,000; Full time

Job summary

Bank of America is seeking a data and modeling professional to build and maintain capacity models for global operations. You will forecast resource demand, partner with frontline units, and present findings to executives with a focus on model risk management.

The role emphasizes quantitative skills, time series methods, and optimization, with collaboration across teams and clear communication to stakeholders in a fast-paced environment.

Qualifications

• Bachelor’s degree in Industrial Engineering, Mathematics, Statistics, Applied Economics, Operations Research, Analytics, Finance, or other STEM field.
• 2+ years of experience in quantitative roles supporting complex functions.
• Proficient in MS Excel and MS Office.
• Experience with Copilot.
• Ability to work in a team‑oriented environment with strong problem solving and collaboration.
• Strong communication skills to convey complex ideas to stakeholders.

Responsibilities

• Develops and maintains models for the line of business, including volume forecasts, capacity plans, and vendor models.
• Drives horizontal consistency in model development and usage across peer groups.
• Conducts routine model production and performance presentations with executive leadership.
• Ensures adherence to Model Risk Management (MRM) requirements.
• Supports ongoing model monitoring to improve forecasting performance and efficiency.

Skills

Advanced Excel

Quantitative modeling

Time series forecasting

Optimization

Communication

Teamwork

Problem solving

Self-motivation

MS Office

Education

Bachelor’s degree in STEM fields (Industrial Eng, Math, Stats, OR, Analytics, Finance)

Tools

SAS

Python

R

Arena

Tableau

CPLEX

XPRESS

GAMS

Job description

Bank of America is seeking a data and modeling professional to build and maintain capacity models for global operations. You will forecast resource demand, partner with frontline units, and present findings to executives with a focus on model risk management.

The role emphasizes quantitative skills, time series methods, and optimization, with collaboration across teams and clear communication to stakeholders in a fast-paced environment.