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Quantitative Operations Associate

mid · Data Science & Analytics

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:

The Global Operations Resource Analytics team is seeking a quantitative professional to develop and implement models for volume forecasting, capacity planning, workforce scheduling, scenario analysis, and operational performance reporting.

This role applies advanced analytical methods to real-world business challenges and translates findings into practical, data-driven recommendations.

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

Required Qualifications::

Master’s degree in industrial engineering, operations research, or a related STEM field.
Proficiency with Microsoft Excel, PowerPoint, and VBA.
Experience querying databases using SQL.
Experience developing and implementing discrete-event simulation and optimization models.
Experience using GitHub Copilot to accelerate model development and formulate heuristics.
Strong problem-solving and collaboration skills.
Demonstrated ability to apply quantitative methods to business problems.
Ability to work effectively through ambiguity, complexity, and change.
Excellent written and verbal communication skills.

Preferred Qualifications:

· Experience in capacity planning, financial planning, or quantitative modeling.

· Proficiency with Arena or comparable discrete-event simulation software.

· Proficiency with Gurobi or comparable optimization software.

· Experience with Python, SAS, SQL, and data mining.

· Banking analytics and modeling experience, particularly in volume forecasting and capacity or resource optimization.

· Experience developing models under model risk management standards and governance requirements.

· Knowledge of linear regression, time-series analysis, and other statistical modeling techniques.

Skills:

Analytical Thinking
Business Intelligence
Data Modeling
Data Visualization
Data and Trend Analysis
Attention to Detail
Collaboration
Data Management
Data Mining
Presentation Skills
Consulting
Problem Solving
Risk Management
Stakeholder Management
Technical Documentation

Shift:

1st shift (United States of America)

Hours Per Week: