Quantitative Operations Associate - Volume Forecaster

Develop and maintain models for the line of business, including volume forecasts, capacity plans, and vendor models Develop and maintain time-series models using advanced algorithm-based forecasting techniques Partner routinely with Front-Line Units to ensure model accuracy Present model production and performance findings to executive leadership and key stakeholders Support ongoing model monitoring to adhere to Model Risk Management guidelines Drive forecast consistency and innovation across the team Drive horizontal consistency in model development and usage across peer groups Improve forecasting performance and efficiency Apply statistical models and business intelligence to maintain strategic volume forecasts for capacity planning Requirements Master's degree in Mathematics, Statistics, Applied Economics, Analytics, Data Science, or another 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 Proficient in MS Office, particularly Excel and Copilot Experience with SAS, Python, or R Ability to work in a team-oriented environment with strong problem-solving and collaboration aptitude Strong communication and interpersonal skills, including communicating complex ideas clearly and concisely to key stakeholders Natural curiosity and drive to answer important business questions 2+ years of experience as a professional predictive modeling analyst (desired) Prior banking industry analytics and modeling experience with risk-management standards (desired) Data mining experience using SQL (desired) Experience with Tableau or other data visualization (desired) Ability to coach others (desired) Core Competencies Demonstrates expertise in developing and maintaining statistical models for forecasting and capacity planning, with a strong foundation in linear regression and time-series analysis. Proficient in utilizing advanced analytics tools and techniques to drive model accuracy and performance in a collaborative environment. Highest-signal resume keywords Statistical Modeling Techniques Predictive Modeling Analysis Data Visualization with Tableau Experience with SAS, Python, or R Master's Degree in Mathematics, Statistics, or Related Field ATS Optimization Keywords Hard Skills Linear Regression Time-Series Analysis Statistical Modeling Data Mining with SQL Forecasting Techniques Soft Skills Strong Communication Skills Problem-Solving Aptitude Collaboration Skills Natural Curiosity Industry Keywords Model Risk Management Banking Industry Analytics Capacity Planning Vendor Models Tools & Technologies MS Office Excel Copilot SAS Python R Tableau #J-18808-Ljbffr Jobtailor