Bank Of America Quantitative Operations Associate – Volume & Capacity Modeler 

United States, Delaware 

652433894

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:

The 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.

Additional responsibilities include:

• 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

Required Skills:

• Bachelor’s degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Advanced Analytics, Finance or other STEM field
• 2+ years of experience in quantitative roles modeling complex systems
• 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
• Fundamental understanding of, and experience with, linear regression and time-series modeling, discrete event simulation, and optimization techniques
• Proficient in MS Office (primarily Excel)
• Experience with SAS, Python, R, or similar statistical software
• Experience with Arena or similar discrete event simulation software
• Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software
• Ability to work in a team-oriented environment with strong aptitude for problem solving and collaboration

Desired Skills:

• 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
• Technical Documentation

1st shift (United States of America)