below marketmost similar roles pay hereabove market
This role pays less than
76%
of similar roles. Most pay
$131,850–$188,125
— the blue band above.
At the midpoint, this role pays about
$127k
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
1214 open roles
on FindRole.
Listed pay typically runs
$166,250–$237,500
across 6 roles with salary data.
As a Quant Analytics Senior Associate within the Small Business Card team, you will assess portfolio performance and translate customer behavior into insights that inform marketing strategy, resource allocation, and product innovation. You will manage and analyze large, complex datasets from multiple sources to identify meaningful patterns and develop actionable insights. Your daily work involves building executive-ready reporting, conducting deep-dive analyses, and collaborating with data owners to contribute to analytics architecture and scalable data strategies. You will utilize Python for statistical modeling, SQL for extracting data from relational databases, and modern platforms like Snowflake or Databricks. Additionally, you will create visualizations using Tableau or Alteryx and leverage generative artificial intelligence to automate workflows and pilot AI-enabled analytics solutions for marketing acquisition and performance measurement.
Analyze large, complex datasets using advanced data mining techniques to identify customer behavioral patterns.
Develop executive-ready reports and dashboards to communicate analytical results to senior leadership.
Provide data-driven recommendations to marketing, finance, and product teams to optimize business performance.
Contribute to data models, analytics architecture, and scalable data strategies in partnership with data owners.
Identify process improvement opportunities by assessing data quality and surfacing statistical anomalies.
Use generative artificial intelligence to automate repetitive tasks and accelerate insight generation.
Evaluate and pilot AI-enabled analytics solutions to support marketing acquisition and performance measurement.
What we're looking for
Bachelor’s degree in a quantitative field with 3+ years of relevant experience, or an advanced degree with 2+ years of experience.
Proficiency in Python for data analysis and statistical modeling.
Strong SQL skills for extracting, transforming, and analyzing data from relational databases.
Experience with modern data platforms such as Snowflake, Databricks, or equivalent technologies.
Experience creating dashboards, visualizations, or recurring reporting using tools such as Tableau or Alteryx.
Demonstrated ability to present analytical findings clearly in writing and verbally to senior leaders and non-technical stakeholders.
Experience using emerging technologies, including generative artificial intelligence tools, to improve analytical productivity and workflow efficiency.
Experience developing executive-ready dashboards and performance measurement frameworks for marketing and portfolio analytics (preferred).
Python
SAS
R
SQL
Snowflake
Amazon Web Services
Databricks
Tableau
Alteryx
Machine Learning
Predictive Modeling
Clustering
Text Mining
Statistical Forecasting
Data Mining
Relational Databases