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Quant Analytics Associate - Time Series Forecasting Strategist - Workforce Planning

JPMorgan Chase·Mumbai

Pay not stated3–6 yrsFull-time

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About the role

As a Time Series Demand Forecasting Associate in Workforce Planning, you will be responsible for forecasting contact center demand at the daily and monthly time interval out to several years to assist with resource planning across CCB operations. The role is focused on time-series forecasting, inferential statistics, data analysis and consulting with stakeholders to understand and explain our dynamic business.

What you'll do

  • Identify opportunities to enhance existing call volume and productivity forecasting process
  • Monitor, Evaluate, and Improve Forecast Accuracy: Regularly assess the accuracy of forecasts by comparing them with actual outcomes
  • Provide analytical leadership to cross-functional team structure that prepares detailed integrated forecasts across multiple lines of business, and segments
  • Take complex results and communicating them in an easily understood way, focusing on how specific results fit into the bigger picture
  • Explore opportunities for creating frameworks for automation using Python

What you need

  • 3–6 yrs of experience
  • Analytics
  • Forecasting
  • Python
  • SQL
  • Machine learning
  • Statistics
  • M.Sc or PhD

Good to have

  • SAS
  • R
  • Spark
  • Hadoop
  • Hive
  • Alteryx

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