Quant Analytics

JPMorgan Chase

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Columbus, OH
Salary
$139,000–$175,000 / yr
Employment
Full-time
Posted
15 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $160k
This role $157k
$109k $203k
below market most similar roles pay here above market

This role pays less than 52% of similar roles. Most pay $126,800–$193,799 — the blue band above. At the midpoint, this role pays about $157k versus about $160k for comparable roles.

Based on 240 similar postings.

Employer

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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View all roles at JPMorgan Chase

At a glance

TL;DR · Quant Analytics

The Quant Analytics role involves evaluating the performance of Business Banking deposit and cash management products to provide data-driven insights for product managers and business leaders. You will build and maintain data assets, create dashboards to monitor key metrics, and develop pricing strategies for banking fees and benefits. Daily tasks include analyzing small business money movement behavior, identifying automation opportunities, and participating in monthly product reviews. You will utilize SQL, SAS, Python, Alteryx, Snowflake, and Teradata to wrangle, manipulate, and interpret complex datasets. Core responsibilities include creating ETL processes for curated datasets, applying machine learning for customer segmentation, and designing consultant-style PowerPoint presentations. This role solves technical problems related to product innovation, competitor benchmarking, and ensuring data integrity through rigorous cleansing and logic flow definition.

What you'll do

  • Evaluate the performance of Business Banking deposit and cash management products.
  • Provide data-driven insights to product managers for new product development and enhancements.
  • Develop and evaluate pricing strategies for banking fees and benefits.
  • Analyze and summarize small business behavior through banking money movement services.
  • Create and maintain dashboards and reports to monitor key performance metrics.
  • Build and maintain data assets for broad usage by the data and analytics team.
  • Identify opportunities to streamline and automate processes to improve operational efficiency.
  • Use SQL, SAS, Python, and Alteryx to wrangle, manipulate, and interpret large datasets.

What we're looking for

  • Master's degree in a quantitative field plus three years of relevant experience.
  • Bachelor's degree in a quantitative field plus five years of relevant experience.
  • Three years of experience selecting and implementing data visualization techniques in Excel.
  • Three years of experience wrangling, manipulating, and interpreting datasets using SQL, SAS, Python, and Alteryx.
  • Three years of experience extracting and processing data from Snowflake and Teradata.
  • Two years of experience creating Extract, Transform, Load processes for curated datasets.
  • Experience designing banking deposit products and cash management money movement services.
  • Experience applying machine learning techniques to segment banking customers and drive personalized strategies.

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