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Global Operations Modelling Lead

at Bank of America in Newark, Delaware, United States

Job Description

Global Operations Modelling Lead

Charlotte, North Carolina;Pennington, New Jersey; Charlotte, North Carolina; Plano, Texas; Fort Worth, Texas; Chandler, Arizona; Jacksonville, Florida; Newark, Delaware; Fort Worth, Texas; Jacksonville, Florida; College Park, Georgia; Newark, Delaware; Atlanta, Georgia; Addison, Texas; Addison, Texas; Tampa, Florida; Pennington, New Jersey

Job Description:

Global Operations (GO) Resource Analytics team is looking for a motivated individual withstrong quantitative skills and experience in time series forecasting, simulation modelling,operations research, and analytics. This individual will be responsible for developing andmaintaining advanced strategic capacity models that predict operational resource demand andproviding recommendations to key stakeholders. In addition, the position will assist with effortsto ensure the capacity models adhere to Model Risk Management (MRM) standards. The idealcandidate will have a keen eye for detail, a strong sense for modelling complex operationalsystems, and excellent verbal and written communication skills.Our team believes in being inclusive and supportive of all people and their unique situations. Weembrace diversity and thrive on learning from each other. We share knowledge andexperiences. We support a healthy work-life balance and offer competitive benefits (PTO, healthinsurance, 401K, paternal leave, etc.).

Responsibilities include, but are not limited to:

+ Responsible for developing and modernizing volume forecasting and resourceoptimization models using advanced time series, simulation and optimization techniques.

+ Evaluating new opportunities and implementing changes for current capacity modelinputs, processes, and outputs

+ Design and implement efficiency metrics and insights to provide guidance to theoperations and drive budgeting and business decisions

+ Assist in driving forecasting and capacity modelling consistency and innovation acrossteam

+ Routinely partner with the Front Line Units (FLUs) to generate best in class outcomes

+ Lead efforts to adhere to Model Risk Management (MRM) requirements includingwriting documentation and providing guidance to junior analysts

Required Skills:

+ Master’s degree in Industrial Engineering, Mathematics, Statistics, Applied Economics,Operations Research, Advanced Analytics, other STEM field (or comparable infield experience)

+ 5+ years of experience in quantitative roles modelling complex systems

+ Fundamental understanding of simulation and operations research techniques (discreteevent simulation, Monte Carlo simulation, queuing theory, Markov chain modeling,optimization, etc.)Fundamental understanding and experience with LinearRegression/Time Series/Other Statistical Modelling, both through education andprofessional experience

+ Proficient with Arena or similar discrete event simulation software

+ Proficient with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software

+ Ability to work in a team-oriented environment with strong aptitude for problem solvingand collaboration

+ Strong communication and interpersonal skills – specifically the ability to communicatecomplex 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 andrapidly changing environment

Desired Skills:

+ Prior forecasting and capacity or financial planning/modelling experience

+ Tableau or other data visualization software experience

+ Data mining experience using SQL/SAS querying

+ Experience with SAS, Python, R, or similar

+ Prior Banking industry analytics and modelling experience, specifically with developingforecasting and capacity or resource optimization models that adhere to standards setby a risk management governing body

Enterprise Role Overview:

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 physic, 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. May report to either Quant Operations Exec or Quantitative Operations Manager

Job Band:

H4

Shift:

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

Global Operations (GO) Resource Analytics team is looking for a motivated individual withstrong quantitative skills and experience in time series forecasting, simulation modelling,operations research, and analytics. This individual will be responsible for developing andmaintaining advanced strategic capacity models that predict operational resource demand andproviding recommendations to key stakeholders. In addition, the position will assist with effortsto ensure the capacity models adhere to Model Risk Management (MRM) standards. The idealcandidate will have a keen eye for detail, a strong sense for modelling complex operationalsystems, and excellent verbal and written communication skills.Our team believes in being inclusive and supportive of all people and their unique situations. Weembrace diversity and thrive on learning from each other. We share knowledge andexperiences. We support a healthy work-life balance and offer competitive benefits (PTO, healthinsurance, 401K, paternal leave, etc.).

Responsibilities include, but are not limited to:

+ Responsible for developing and modernizing volume forecasting and resourceoptimization models using advanced time series, simulation and optimization techniques.

+ Evaluating new opportunities and implementing changes for current capacity modelinputs, processes, and outputs

+ Design and implement efficiency metrics and insights to provide guidance to theoperations and drive budgeting and business decisions

+ Assist in driving forecasting and capacity modelling consistency and innovation acrossteam

+ Routinely partner with the Front Line Units (FLUs) to generate best in class outcomes

+ Lead efforts to adhere to Model Risk Management (MRM) requirements includingwriting documentation and providing guidance to junior analysts

Required Skills:

+ Master’s degree in Industrial Engineering, Mathematics, Statistics, Applied Economics,Operations Research, Advanced Analytics, other STEM field (or comparable infield experience)

+ 5+ years of experience in quantitative roles modelling complex systems

+ Fundamental understanding of simulation and operations research techniques (discreteevent simulation, Monte Carlo simulation, queuing theory, Markov chain modeling,optimization, etc.)Fundamental understanding and experience with LinearRegression/Time Series/Other Statistical Modelling, both through education andprofessional experience

+ Proficient with Arena or similar discrete event simulation software

+ Proficient with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software

+ Ability to work in a team-oriented environment with strong aptitude for problem solvingand collaboration

+ Strong communication and interpersonal skills – specifically the ability to communicatecomplex 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 andrapidly changing environment

Desired Skills:

+ Prior forecasting and capacity

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Job Posting: JC212607469

Posted On: May 06, 2022

Updated On: Jun 05, 2022