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Volume Forecaster

Charlotte, North Carolina;

Job Description:

Description & Responsibilities:

Global Operations Data Management and Analytics team is looking for a motivated individual who can analyze operational activities to obtain quantitative forecasts for staffing decision making through the application of statistical models and business intelligence. Utilizes mathematics, statistical methods, engineering methods, and other advance analytics methods. Works on usually complex technical problems and provides innovative solutions. Interacts with senior partners on significant technical matters often requiring coordination between organizations

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

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:

Description & Responsibilities:

Global Operations Data Management and Analytics team is looking for a motivated individual who can analyze operational activities to obtain quantitative forecasts for staffing decision making through the application of statistical models and business intelligence. Utilizes mathematics, statistical methods, engineering methods, and other advance analytics methods. Works on usually complex technical problems and provides innovative solutions. Interacts with senior partners on significant technical matters often requiring coordination between organizations

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

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

Learn more about this role

Full time

JR-22033795

Band: H5

Manages People: No

Travel: Yes, 5% of the time

Manager:

Talent Acquisition Contact:

Thomas Hall [C]

Referral Bonus:

0