Quantitative Operations Associate – Volume & Capacity Modeler-Global Operations

Bank of America; Plano (TX); On-site; USD 85,000 - 115,000; Full time

Job summary

A leading financial institution is seeking a Quantitative Operations Associate to develop and maintain forecasting and capacity planning models. The ideal candidate will have a strong quantitative background, adept in statistical software, and enthusiastic about improving operational systems. This role offers the opportunity to contribute to a critical area of the bank's operations and collaborate with various teams to achieve best-in-class outcomes.

Qualifications

• A bachelor's degree in a STEM field is required.
• 2+ years of experience in quantitative roles is preferred.
• Experience with statistical software and a fundamental understanding of modeling complex systems.

Responsibilities

• Develop and maintain volume forecasting and capacity planning models.
• Assist in adhering to Model Risk Management (MRM) guidelines.
• Conduct routine model production and performance presentations.

Skills

Statistical modeling

Time-series forecasting

Optimization techniques

Problem solving

Programming (SAS, Python, R)

Communication skills

Education

Bachelor's degree in Statistics, Applied Economics or related field

Tools

MS Office

SAS

Python

R

SQL

Tableau

Job description

Quantitative Operations Associate – Volume & Capacity Modeler-Global Operations

Charlotte, North Carolina; Jacksonville, Florida; Plano, Texas;

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At 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

Job Summary

Global Operations Management Reporting & Analytics is looking for a motivated individual with strong quantitative skills and experience with time-series forecasting, capacity planning, simulation modeling, and/or operations research. This individual will be responsible for developing and maintaining strategic volume forecasting and capacity planning models with the goal of maintaining optimal staffing levels across Global Operations. In addition, the position will assist with efforts to ensure 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 volume forecasting, capacity planning, and resource optimization models
• Help modernize existing volume forecasting and capacity models using advanced predictive modeling, simulation and optimization techniques
• Assist in driving volume and 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 Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field
• 2+ years of experience in quantitative roles modeling complex systems
• Fundamental understanding of linear regression and time-series modeling, discrete event simulation, and optimization techniques, through education or professional experience
• Proficient in MS Office, particularly 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
• 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 Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field
• Prior operational volume forecasting, capacity planning, or financial planning experience
• 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