Quantitative Ops Analyst: Volume & Capacity Modeling

Mary Dickson; Newark (DE); On-site; USD 85,000 - 132,000; Full time

Benefits offered by this job

Discretionary incentive eligible

Job summary

Bank of America is seeking a highly quantitative professional to develop and maintain forecasting and capacity planning models to optimize staffing for Global Operations. The role emphasizes time-series forecasting, simulation, and risk model alignment with Model Risk Management standards.

The ideal candidate brings strong analytical skills, proficiency in SAS/Python/R, and collaboration with cross-functional teams to deliver precise insights and actionable recommendations.

Qualifications

• 2+ years of experience in quantitative roles modeling complex systems.
• Fundamental understanding of linear regression and time-series modeling, discrete event simulation, and optimization techniques.
• Proficient in MS Office, particularly Excel.
• Experience with SAS, Python, R, or similar statistical software.
• Experience with Arena or similar discrete event simulation software.
• Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software.
• Ability to work in a team-oriented environment with strong problem solving and collaboration.
• Strong communication and interpersonal skills - ability to convey complex ideas clearly to stakeholders.

Responsibilities

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

Skills

Analytical Thinking

Data Modeling

Data Visualization

Data and Trend Analysis

Attention to Detail

Collaboration

Problem Solving

Presentation Skills

Stakeholder Management

Risk Management

Education

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

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

Tools

Excel

SAS

Python

R

Arena

SAS OR

GAMS

XPRESS

CPLEX

Job description

Bank of America is seeking a highly quantitative professional to develop and maintain forecasting and capacity planning models to optimize staffing for Global Operations. The role emphasizes time-series forecasting, simulation, and risk model alignment with Model Risk Management standards.

The ideal candidate brings strong analytical skills, proficiency in SAS/Python/R, and collaboration with cross-functional teams to deliver precise insights and actionable recommendations.