Lead Quantitative Ops & Forecasting Modeler

Bank of America; Charlotte, Chicago (NC, IL); On-site; USD 126,000 - 168,700; Full time

Job summary

Bank of America is seeking a Quantitative Operations Associate II - Lead Modeler to develop and maintain staffing and capacity models within Global Operations Data, Reporting & Operations Management. The role emphasizes time-series forecasting, model risk compliance, and cross-team collaboration.

The ideal candidate holds a Master’s in a STEM field and 5+ years in quantitative modeling, with expertise in SAS, Python, or R and strong communication skills.

Qualifications

• Master’s degree in Mathematics, Statistics, or related field; 5+ years of quantitative modeling experience.
• Strong time-series forecasting and predictive modeling skills.
• Proficiency in SAS, Python, or R and MS Excel.

Responsibilities

• Develops and maintains models for volume forecasts and capacity plans across the line of business.
• Drives horizontal consistency in model development, visualization, and usage across peer groups.
• Performs model production and presents results to executive leadership.
• Ensures adherence to Model Risk Management (MRM) requirements.
• Monitors model performance and implements improvements.
• Mentors junior analysts and guides analytics projects.

Skills

5+ years exp

Strong modeling

Team collaboration

Communication skills

Education

Master’s degree in STEM

Tools

SAS

Python

R

Job description

Bank of America is seeking a Quantitative Operations Associate II - Lead Modeler to develop and maintain staffing and capacity models within Global Operations Data, Reporting & Operations Management. The role emphasizes time-series forecasting, model risk compliance, and cross-team collaboration.

The ideal candidate holds a Master’s in a STEM field and 5+ years in quantitative modeling, with expertise in SAS, Python, or R and strong communication skills.