Quantitative Operations Associate - Capacity Modeler-Global Operations

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!

Job Summary

Global Operations Data Management and Analytics team is looking for a motivated individual with strong quantitative skills and experience in simulation modeling, operations research, and/or analytics. This individual will be responsible for developing and maintaining advanced strategic capacity models that predict operational resource demand and providing recommendations to key stakeholders. In addition, the position will assist with efforts to ensure the capacity models adhere to Model Risk Management (MRM) standards. The ideal candidate will have a keen eye for detail, a strong sense for modeling complex operational systems, and excellent verbal and written communication skills.

• Responsible for developing and maintaining capacity and resource optimization models
• Help modernize existing capacity models using advanced simulation and optimization techniques
• Evaluate new opportunities and implement changes for current capacity model inputs, processes, and outputs
• Assist in driving capacity modeling consistency and innovation across team
• Routinely partner with the Front Line Units (FLUs) to generate best in class outcomes
• Help with documentation and other efforts to adhere to Model Risk Management (MRM) guidelines

Job Description:
Responsible for developing quantitative/analytic models and applications in support of the firm's risk management effort. This role focuses on the development of operations/data management policies, strategies and operational guidelines for the organization's various financial products as they relate to the analysis, tracking, and reporting of various risk metrics. This role often possesses an advanced degree in physics, applied mathematics, statistics/probability or another heavy quantitative discipline. Quantitative analytic staff is focused on and responsible for the development of the theory and mathematics behind various models. Individual Contributor and reports to Quant Operations Manager

Required Skills:

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

• 2+ years of experience in quantitative roles modeling complex systems
• Experience with Arena or similar discrete event simulation software
• Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software
• Proficient in MS Office
• Ability to work in a team-oriented environment with strong aptitude for problem solving and collaboration
• Strong communication and interpersonal skills - specifically the ability to communicate complex ideas in a clear and concise manner to key stakeholders
• Natural curiosity and drive to answer important business questions
• High aptitude for self-motivation and self-determined project work in a fast-paced and rapidly changing environment

Desired Skills:

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

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

Minimum Education Requirement: Null

Shift:

Hours Per Week: