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 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 Data Management & Analytics is looking for a motivated individual with strong quantitative skills and experience with time-series forecasting, simulation modeling, and/or operations research. This individual will be responsible for developing and maintaining advanced strategic volume forecasting and capacity planning models that predict operational volumes and resource demand as well as providing recommendations to key stakeholders. 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 modelsHelp to modernize existing capacity models using advanced simulation and optimization techniquesAssist in driving volume and capacity modeling consistency and innovation across teamPartner with the Front Line Units (FLUs) to and generate best in class outcomesConduct routine model production and performance presentations with executive leadershipEvaluate new opportunities and implement changes to current model inputs, processes, and outputsHelp with documentation and other efforts to adhere to Model Risk Management (MRM) guidelines

Required Skills:

2+ years of experience in quantitative roles modeling complex systemsFundamental understanding of, and experience with, linear regression and time-series modeling, discrete event simulation, and optimization techniquesProficient in MS Office (primarily Excel)Experience with SAS, Python, R, or similar statistical softwareExperience with Arena or similar discrete event simulation softwareExperience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization softwareAbility to work in a team-oriented environment with strong aptitude for problem solving and collaborationStrong communication and interpersonal skills - specifically the ability to communicate complex ideas in a clear and concise manner to key stakeholdersNatural curiosity and drive to answer important business questionsHigh 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, Advanced Analytics, Finance or other STEM fieldBachelor’s degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Advanced Analytics, Finance or other STEM fieldPrior operational volume forecasting, capacity planning, or financial planning experienceExperience with Tableau or other data visualization softwareData mining experience using SQL/SAS queryingPrior Banking industry analytics and modeling experience, specifically with models that adhere to standards set by a risk management governing body

Skills:

Analytical ThinkingBusiness IntelligenceData ModelingData VisualizationData and Trend AnalysisAttention to DetailCollaborationData ManagementData MiningPresentation SkillsConsultingProblem SolvingRisk ManagementStakeholder ManagementTechnical Documentation

Shift:

1st shift (United States of America)

Hours Per Week: 

40