Quantitative Operations Associate/Capacity Modeler-Global Operations

at  Bank of America

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. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.
One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.
Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.
Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

REQUIRED SKILLS:

• A degree, preferably a Graduate Degree in Industrial Engineering and/or Operations Research.
• 1-2 years of demonstrated experience in modeling complex systems.
• Well-versed in
• Discrete Event Simulation modeling using Arena or similar software.
• Optimization modeling using Excel Solver or Gurobi and
• Forecasting using SAS or similar software.
• Experienced in mining data using SQL and automating tasks using Python/Microsoft VBA
• Proficient in assembling insightful presentations using MS PowerPoint
• Innate intellectual curiosity with strong aptitude for developing workable solutions.
• Strong communication skills including the ability to perceptively convey complex ideas concisely to key stakeholders.

DESIRED SKILLS:

• Master’s degree in Industrial Engineering and/or Operations Research
• Prior capacity or financial planning/modeling experience
• Data mining experience using SQL/SAS-SQL
• Proficient in Arena or similar discrete event simulation software
• Proficient in Excel Solver and VBA
• Experience with SAS and Python
• Prior Banking industry analytics and modeling experience, specifically with developing capacity or resource optimization models that adhere to standards set by a risk management governing body

DESCRIPTION & RESPONSIBILITIES:

Global Operations Resource Analytics team is looking for a motivated individual with a background in Industrial Engineering and/or Operations Research. This individual will develop and implement volume forecasts, capacity plans, workforce schedules, conduct what-if scenarios and provide workable recommendations to key stakeholders.
The ideal candidate will have a keen eye for detail, experienced in modeling complex operational systems, with excellent communication skills. The job offers an outstanding opportunity for a motivated individual to apply quantitative skills towards answering real-world business questions.

KEY RESPONSIBILITIES

• Develop and implement volume forecasts and capacity plans.
• Incorporate Operations Research methodologies - Discrete Event Simulation and Optimization in capacity planning.
• Develop and assemble insights through data mining using SQL.
• Identify and implement productivity improvement opportunities through work measurement.
• Automate mundane tasks using Python and/or Microsoft VBA
• Interact with key stakeholders to present forecasts, Capacity Plans, and convey recommendations.