Quantitative Operations Associate - Capacity Modeler

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

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.

Responsibilities:

Global Operations Management Reporting & Analytics is looking for a motivated individual with strong quantitative skills and experience in capacity planning, simulation modeling, operations research, and/or analytics. This individual will be responsible for developing and maintaining strategic capacity models that forecast operational resource demand with the goal of maintaining optimal staffing levels across Global Operations. In addition, the position will assist with efforts to ensure 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. Responsibilities include:

• 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

Required Skills:

• 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

Desired Skills:

• 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

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

Shift:
1st shift (United States of America)

Hours Per Week:
40

Learn more about this role