Quantitative Capacity Modeling & Forecasting Specialist

Bank of America; Florida; On-site; USD 90,000 - 130,000; Full time

Job summary

Bank of America is seeking a quantitative professional to develop and maintain capacity and vendor models, forecast resource demand, and ensure Model Risk Management (MRM) compliance. You will partner with Front Line Units and present findings to executive leadership, driving improvements in forecasting and efficiency.

The role demands strong analytical skills, proficiency with SAS, Python, R, and Tableau, plus collaboration across teams in a fast-paced banking 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 Office, particularly Excel.
• Experience with Copilot.
• Ability to work in a team-oriented environment with strong problem solving skills.
• Strong communication and interpersonal skills for 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

Analytical Thinking

Data Modeling

Data Visualization

Problem Solving

Presentation Skills

Collaboration

Risk Management

Education

Bachelor's degree in STEM field

Master's degree (preferred)

Tools

SAS

Python

R

Tableau

Arena

CPLEX

GAMS

XPRESS

Excel

Job description

Bank of America is seeking a quantitative professional to develop and maintain capacity and vendor models, forecast resource demand, and ensure Model Risk Management (MRM) compliance. You will partner with Front Line Units and present findings to executive leadership, driving improvements in forecasting and efficiency.

The role demands strong analytical skills, proficiency with SAS, Python, R, and Tableau, plus collaboration across teams in a fast-paced banking environment.