Business Banking Sales Quant Analytics Manager - VP

JPMorgan Chase

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Quick summary

Work type
On-site
Location
Columbus, OH
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $179k
$134k $219k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $146,925–$211,200.

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 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Business Banking Sales Quant Analytics Manager - VP

As a Business Banking Sales Quant Analytics Manager - VP within the Business Banking Data and Analytics team, you will support sales strategy through analytical exploration, forecasting, and portfolio performance analysis. You will partner with internal stakeholders to design and track strategic initiatives by integrating data from multiple sources to form actionable conclusions. Your daily work involves developing insights using predictive modeling, clustering, text mining, machine learning, and statistical forecasting. You will build dashboards, define key performance indicators, and identify anomalies tied to business processes. Required technical skills include proficiency in Python, SAS, or R, along with strong SQL skills and an understanding of ETL processing. You will solve complex problems by translating large datasets into clear communications to help leaders prioritize and measure results.

What you'll do

  • Develop insights and tools from large datasets using predictive modeling, machine learning, and statistical forecasting.
  • Integrate data from multiple sources to inform sales strategies and business decisions.
  • Analyze data to identify improvement opportunities, validate inputs, and detect process anomalies.
  • Design and implement data-driven methods to track and measure strategic sales initiatives.
  • Define key performance indicators and deliver dashboards to provide transparency into progress.
  • Communicate complex analytical results and findings clearly to various levels of management.
  • Advise business owners on experimentation, measurement approaches, and quantifiable goals.
  • Strengthen processes and controls to ensure consistent and measurable business outcomes.

What we're looking for

  • Master’s degree with 5 years of experience or Bachelor’s degree with 7 years of experience in a related discipline.
  • Proficiency in data analysis languages such as Python, SAS, or R.
  • Proficiency with relational databases and strong SQL skills.
  • Proficiency in standard data mining and analytical methods.
  • Technical understanding of data extraction, transformation, and load (ETL) processing.
  • Demonstrated ability to communicate analytical findings clearly and influence business stakeholders.
  • Experience designing, building, and operating solutions on cloud data platforms like Snowflake, AWS, or Databricks (preferred).
  • Experience with visualization tools like Tableau, interactive reporting solutions, or Alteryx (preferred).

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