Quantitative Operations Associate – Capacity Modeler
| Company | Bank of America |
|---|---|
| Location | Plano, TX, USA, Newark, NJ, USA, Chicago, IL, USA, Charlotte, NC, USA, Jacksonville, FL, USA, Chandler, AZ, USA |
| Salary | $84600 – $132000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Mid Level |
Requirements
- Bachelor’s degree in Industrial Engineering, Mathematics, Statistics, Applied Economics, Operations Research, Analytics, Finance, or other STEM field
- 2+ years of experience in quantitative roles supporting complex functions
- Proficient in MS Office, particularly Excel
- 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
Responsibilities
- Develop and maintain capacity planning and resource optimization models
- Help modernize existing capacity models using advanced simulation and optimization techniques
- Assist in driving 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
Preferred Qualifications
- Master’s degree in Industrial Engineering, Mathematics, Statistics, Applied Economics, Operations Research, Analytics, Finance, or other STEM field
- Prior capacity or financial planning experience
- Experience with Arena or similar discrete event simulation software
- Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software
- Experience with SAS, Python, R, or similar statistical software
- Experience with Tableau or other data visualization software
- Data mining experience using SQL/SAS querying
- Prior Banking industry analytics and modeling experience, specifically with models that adhere to standards set by a risk management governing body