Quant Analytics Associate - Time Series Forecasting Strategist - Workforce Planning at JPMorgan Chase & Co. - ScoutJobs - The AI-curated global job board
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JPMorgan Chase & Co.
Posted 11 hours ago

Quant Analytics Associate - Time Series Forecasting Strategist - Workforce Planning

JPMorgan Chase & Co.

Requirements

MS/PHD in quantitative discipline, 3+ years business planning experience, Strong modeling background, Proficiency in Python, R, or SAS, Knowledge of time-series forecasting, Experience with descriptive statistics and inference

Skills

PythonRSASSQLStatistics

About the role

Responsibilities

  • Forecast contact center demand at daily and monthly intervals to assist with resource planning across CCB operations.
  • Identify opportunities to enhance existing call volume and productivity forecasting processes.
  • Monitor, evaluate, and improve forecast accuracy by comparing results with actual outcomes and implementing improvements.
  • Provide analytical leadership to cross-functional teams to prepare detailed integrated forecasts across multiple lines of business.
  • Communicate complex analytical results to stakeholders and senior leadership in an easily understood manner.
  • Explore opportunities for creating automation frameworks using Python.
  • Stay informed on industry trends and emerging technologies in forecasting to ensure organizational innovation.

Requirements

  • MS or PhD degree in a quantitative discipline such as Statistics, Economics, Applied Math, Computer Science, Data Science, or Engineering.
  • 3+ years of experience in business planning and processes with a strong modeling background.
  • Hands-on experience with time-series forecasting and advanced statistics (e.g., Moving Average, Exponential Smoothing, Auto-Regression).
  • Proficiency in analytical and statistical tools such as Python, R, or SAS.
  • Experience delivering descriptive statistics, inference, and visualizations to communicate with partners.
  • Strong analytical, interpretive, and problem-solving skills with the ability to interpret large datasets.

Preferred Qualifications

  • Experience with big-data technologies such as Hadoop, Spark, or SparkML.
  • Familiarity with SQL, Hive, or other data table operations.
  • Strong applied technical skills in Python.
  • Experience with tools such as Trifacta, Alteryx, or SAS.
  • Advanced knowledge of Call Center Operations, Contact Center Metrics, and Workforce Planning practices.

About the Company

JPMorganChase is a leading global financial services firm and one of the oldest financial institutions in the world. We offer innovative financial solutions to millions of consumers, small businesses, and prominent corporate, institutional, and government clients. Our Consumer & Community Banking division serves Chase customers through a wide range of services, including personal banking, credit cards, mortgages, and investment advice.

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Quant Analytics Associate - Time Series Forecasting Strategist - Workforce Planning

JPMorgan Chase & Co. · Mumbai

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