Quantitative Operations Modeler: Forecasting & Optimization

Bank of America; Phoenix (AZ); On-site; USD 110,000 - 150,000; Full time

Job summary

Bank of America is seeking a quantitative professional to design and implement models for volume forecasting, capacity planning, and workforce scheduling. The role applies advanced analytical methods to solve real-world business challenges and translate findings into practical recommendations.

The position focuses on developing robust models, maintaining governance, and presenting results to executive leadership while collaborating across teams to improve forecasting performance and efficiency.

Qualifications

• Master’s degree in industrial engineering, operations research, or related STEM field.
• Strong quantitative and analytical capability with modeling experience.
• Experience applying quantitative methods to business problems.
• Proficiency with Excel, PowerPoint, and VBA.
• Experience querying databases using SQL.
• Familiarity with model risk management and governance.

Responsibilities

• Develops and maintains models for volume forecasting, capacity plans, and vendor models.
• Drives consistency in model development and usage across peer groups.
• Conducts model production and performance reviews with executive leadership.
• Ensures adherence to Model Risk Management (MRM) requirements.
• Supports ongoing model monitoring to improve forecast performance.

Skills

Analytical Thinking

Data Modeling

Data Visualization

Presentation Skills

Collaboration

Problem Solving

Stakeholder Management

Technical Documentation

Education

Master’s degree in industrial engineering, operations research, or a related STEM field

Tools

Arena

Gurobi

Python

SAS

SQL

GitHub Copilot

Job description

Bank of America is seeking a quantitative professional to design and implement models for volume forecasting, capacity planning, and workforce scheduling. The role applies advanced analytical methods to solve real-world business challenges and translate findings into practical recommendations.

The position focuses on developing robust models, maintaining governance, and presenting results to executive leadership while collaborating across teams to improve forecasting performance and efficiency.