Quant Analytics Associate, Time Series Forecasting Strategist, Workforce Planning

JPMorgan Chase

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Work type: On-site
Location: Mumbai, MH, India
Posted: 5 days ago
Nearby: 10 roles within 25 mi

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How this pay compares to similar roles

Similar $157k

$101k most similar roles pay here $195k

This listing doesn't post a salary. Most similar roles pay $126,800–$186,250.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 385 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 203 roles with salary data.

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At a glance

TL;DR · Quant Analytics Associate, Time Series Forecasting Strategist, Workforce Planning

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Join the dynamic Workforce Planning organization within Consumer & Community Banking at Chase as a Quant Analytics Associate specializing in time series forecasting. This role involves enhancing contact center demand forecasting processes by developing and refining models to predict call volumes and productivity, ensuring optimal staffing and service goals are met across various business units. You will collaborate with cross-functional teams to deliver detailed integrated forecasts, leveraging Python for automation and advanced statistical techniques like moving averages and regression analysis. The ideal candidate has a strong background in quantitative disciplines such as statistics or computer science, along with hands-on experience using tools like Python, R, or SAS for time series forecasting. Knowledge of big data technologies and call center operations is preferred, offering opportunities to drive innovation and improve operational efficiency at scale.

Skills

Python R SAS Hadoop Spark Trifacta SQL HiveQL Alteryx Time Series Regression Moving Average Exponential Smoothing Auto-Regression Data Visualization CI/CD

What you'll do

Identify and implement improvements to existing call volume and productivity forecasting processes.
Regularly assess forecast accuracy by comparing predictions with actual outcomes and explain discrepancies.
Develop frameworks for automation using Python to enhance forecasting efficiency.
Provide analytical leadership in preparing detailed integrated forecasts across multiple business segments.
Communicate complex analytical results clearly to senior leadership and stakeholders.
Stay informed about industry trends, emerging technologies, and best practices in forecasting.

What we're looking for

At least 3 years of experience in business planning and forecasting processes.
MS/PhD degree in a quantitative field such as Statistics, Economics, Applied Math, Computer Science, Data Science or Engineering.
Proficiency in Python, R, or SAS for time series analysis and statistical modeling.
Strong analytical skills to interpret large datasets and provide actionable insights.
Experience with advanced statistics including Moving Average, Exponential Smoothing, Auto-Regression, and Regression techniques.
Excellent communication skills to present complex information clearly to senior leadership.

Hybrid

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