Quantitative Operations Analyst: Volume Forecaster/Modeler

Bank of America
Published
July 20, 2021
Location
Jacksonville, FL
Category
Job Type

Description

Job Description:

Analyzes actual and predictable interacting operational activities of a business system to obtain quantitative, rational basis for decision making through the application of logic and scientific or economic disciplines and techniques. Devises modeling and measuring techniques; utilizes mathematics, statistical methods, engineering methods, operations research techniques (linear programming, game theory, probability theory, symbolic language, etc.) and other principles and laws of scientific and economic disciplines. Applies extensive technical expertise, and has full knowledge of other related disciplines. Works on usually complex technical problems and provides innovative solutions. Supports guiding the successful completion of major programs. Interacts with senior partners on significant technical matters often requiring coordination between organizations.

Our team believes in being inclusive and supportive of all people and their unique situations. We embrace diversity and thrive on learning from each other. We share knowledge and experiences. We support a healthy work-life balance and offer competitive benefits (PTO, health insurance, 401K, paternal leave, etc.).

This is a support role for the Consumer, Small Business and Wealth Management Operations (CSWO) Reporting and Analytics team. This individual will be responsible for the development, maintenance, and modernization of time-series forecasting models that serve as primary inputs to capacity planning and budgeting models. In addition, the position will assist with efforts to ensure forecasting models adhere to Model Risk Management (MRM) standards. The ideal candidate will have a keen eye for detail, a strong sense for model testing and development, and excellent verbal and written communication skills.

• Responsible for developing and modernizing time-series models using advanced algorithm-based forecasting techniques

• Assist in driving forecast 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

• Supports ongoing monitoring and improving forecasting performance and efficiency
Required Skills:

  • Master's degree in Mathematics/Statistics/Applied Economics/Operations Research/Advanced Analytics or other STEM field, (or comparable experience)
  • 2+ years of experience as a professional predictive modeling analyst (forecasting, regression analysis, time-series, etc.)
  • Fundamental understanding and experience with Linear Regression/Time Series/Statistical Modeling, both through education and professional experience
  • Experience with SAS, Python, R, or similar statistical software
  • Tableau / Data visualization / or other
  • Ability to work in 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

Desired Skills:

  • Data mining experience using SQL/SAS querying
  • Prior Bank of America/Banking industry analytics and modeling experience, specifically with developing predictive models that adhere to standards set by a risk management governing body
  • Ability to coach others

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 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 Band:

H5

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0 -->

Job Description:

Analyzes actual and predictable interacting operational activities of a business system to obtain quantitative, rational basis for decision making through the application of logic and scientific or economic disciplines and techniques. Devises modeling and measuring techniques; utilizes mathematics, statistical methods, engineering methods, operations research techniques (linear programming, game theory, probability theory, symbolic language, etc.) and other principles and laws of scientific and economic disciplines. Applies extensive technical expertise, and has full knowledge of other related disciplines. Works on usually complex technical problems and provides innovative solutions. Supports guiding the successful completion of major programs. Interacts with senior partners on significant technical matters often requiring coordination between organizations.

Our team believes in being inclusive and supportive of all people and their unique situations. We embrace diversity and thrive on learning from each other. We share knowledge and experiences. We support a healthy work-life balance and offer competitive benefits (PTO, health insurance, 401K, paternal leave, etc.).

This is a support role for the Consumer, Small Business and Wealth Management Operations (CSWO) Reporting and Analytics team. This individual will be responsible for the development, maintenance, and modernization of time-series forecasting models that serve as primary inputs to capacity planning and budgeting models. In addition, the position will assist with efforts to ensure forecasting models adhere to Model Risk Management (MRM) standards. The ideal candidate will have a keen eye for detail, a strong sense for model testing and development, and excellent verbal and written communication skills.

• Responsible for developing and modernizing time-series models using advanced algorithm-based forecasting techniques

• Assist in driving forecast 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

• Supports ongoing monitoring and improving forecasting performance and efficiency
Required Skills:

  • Master's degree in Mathematics/Statistics/Applied Economics/Operations Research/Advanced Analytics or other STEM field, (or comparable experience)
  • 2+ years of experience as a professional predictive modeling analyst (forecasting, regression analysis, time-series, etc.)
  • Fundamental understanding and experience with Linear Regression/Time Series/Statistical Modeling, both through education and professional experience
  • Experience with SAS, Python, R, or similar statistical software
  • Tableau / Data visualization / or other
  • Ability to work in 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

Desired Skills:

  • Data mining experience using SQL/SAS querying
  • Prior Bank of America/Banking industry analytics and modeling experience, specifically with developing predictive models that adhere to standards set by a risk management governing body
  • Ability to coach others

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 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 Band:

H5

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:
Analyzes actual and predictable interacting operational activities of a business system to obtain quantitative, rational basis for decision making through the application of logic and scientific or economic disciplines and techniques. Devises modeling and measuring techniques; utilizes mathematics, statistical methods, engineering methods, operations research techniques (linear programming, game theory, probability theory, symbolic language, etc.) and other principles and laws of scientific and economic disciplines. Applies extensive technical expertise, and has full knowledge of other related disciplines. Works on usually complex technical problems and provides innovative solutions. Supports guiding the successful completion of major programs. Interacts with senior partners on significant technical matters often requiring coordination between organizations.

Our team believes in being inclusive and supportive of all people and their unique situations. We embrace diversity and thrive on learning from each other. We share knowledge and experiences. We support a healthy work-life balance and offer competitive benefits (PTO, health insurance, 401K, paternal leave, etc.).

This is a support role for the Consumer, Small Business and Wealth Management Operations (CSWO) Reporting and Analytics team. This individual will be responsible for the development, maintenance, and modernization of time-series forecasting models that serve as primary inputs to capacity planning and budgeting models. In addition, the position will assist with efforts to ensure forecasting models adhere to Model Risk Management (MRM) standards. The ideal candidate will have a keen eye for detail, a strong sense for model testing and development, and excellent verbal and written communication skills.

• Responsible for developing and modernizing time-series models using advanced algorithm-based forecasting techniques

• Assist in driving forecast 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

• Supports ongoing monitoring and improving forecasting performance and efficiency
Required Skills:

  • Master's degree in Mathematics/Statistics/Applied Economics/Operations Research/Advanced Analytics or other STEM field, (or comparable experience)
  • 2+ years of experience as a professional predictive modeling analyst (forecasting, regression analysis, time-series, etc.)
  • Fundamental understanding and experience with Linear Regression/Time Series/Statistical Modeling, both through education and professional experience
  • Experience with SAS, Python, R, or similar statistical software
  • Tableau / Data visualization / or other
  • Ability to work in 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

Desired Skills:

  • Data mining experience using SQL/SAS querying
  • Prior Bank of America/Banking industry analytics and modeling experience, specifically with developing predictive models that adhere to standards set by a risk management governing body
  • Ability to coach others

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 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,
Shift:

1st shift (United States of America)

Hours Per Week: 

40

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