Job Information
Bank of America Quantitative Operations Associate - Capacity Modeler-Global Operations in Richmond, Virginia
Quantitative Operations Associate - Capacity Modeler-Global Operations
Charlotte, North Carolina;Atlanta, Georgia; Richmond, Virginia; Plano, Texas; Chandler, Arizona; Jacksonville, Florida; Chicago, Illinois; Newark, Delaware
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:
1st shift (United States of America)
Hours Per Week:
40
Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.
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This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.