Quantitative Operations Associate - Volume Forecaster

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Job Description:
This job is responsible for developing and maintaining models for the line of business, including volume forecasts, capacity plans, and vendor models. Key responsibilities include presenting findings to key stakeholders and ensuring compliance to Model Risk Management (MRM) standards. Job expectations include strong quantitative skills and experience in time series forecasting, simulation modelling, operations research, and analytics.

The Data & Modeling - Resource Analytics team in Global Operations Data, Reporting & Operations Management is looking for a motivated individual with strong quantitative skills and experience in time series forecasting and predictive modeling. This individual will be responsible for developing data and maintaining strategic volume forecasts for capacity planning purposes through the application of statistical models and business intelligence. 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 time-series models using advanced algorithm-based forecasting techniques
• Routinely partner with the Front-Line Units (FLUs) to ensure model accuracy
• Conduct model production and performance presentations with executive leadership
• Support with ongoing model monitoring efforts to adhere to Model Risk Management (MRM) guidelines
• Assist in driving forecast consistency and innovation across the team

Responsibilities:

• Develops and maintains models for the line of business, including volume forecasts, capacity plans, and vendor models
• Drives horizontal consistency in model development and usage across peer groups
• Conducts routine model production and performance presentations with executive leadership
• Ensures adherence to Model Risk Management (MRM) requirements
• Supports ongoing model monitoring to improve forecasting performance and efficiency

Required Skills:

• Master's degree in Mathematics, Statistics, Applied Economics, Analytics, Data Science, other STEM field; or equivalent experience
• 2+ years of experience in quantitative roles supporting complex functions
• Fundamental understanding and experience with linear regression, time-series, and other statistical modeling techniques, through education and/or professional experience
• Proficient in MS Office, particularly Excel and Copilot
• Experience with SAS, Python, or R
• 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

Desired Skills:

• 2+ years of experience as a professional predictive modeling analyst (forecasting, regression analysis, time-series, etc.)
• Prior Banking industry analytics and modeling experience, specifically with models that adhere to standards set by risk management governing body
• Data mining experience using SQL
• Experience with Tableau or other data visualization
• Ability to coach others

Skills:

• Analytical Thinking
• Business Intelligence
• Data Modeling
• Data Visualization
• Data and Trend Analysis
• Attention to Detail
• Collaboration
• Data Management
• Data Mining
• Presentation Skills
• Consulting
• Problem Solving
• Risk Management
• Stakeholder Management
• Technical Documentation

Shift:

1st shift (United States of America)

Hours Per Week:

40