Business Banking Sales Quant Analytics Senior Associate

JPMorgan Chase

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Quick summary

Work type: On-site
Location: Chicago, IL
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Similar $148k

$103k $188k

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This listing doesn't post a salary. Most similar roles pay $120,500–$175,500.

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 Senior Associate

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As a Business Banking Sales Quant Analytics Senior Associate within the Business Banking Data and Analytics team, you will support the sales strategy organization through analytical exploration, outcome reporting, and portfolio performance analysis. You will work directly with internal clients to design, develop, and track strategic sales initiatives while translating complex findings into practical actions. Your daily work involves integrating data from disparate databases to build reliable views of performance, identifying statistical anomalies, and defining key performance indicators. You will utilize advanced analytics including predictive modeling, clustering, text mining, machine learning, and statistical forecasting. Required technical skills include proficiency in Python, SAS, or R, along with strong SQL skills and experience with cloud data platforms like Snowflake, Amazon Web Services, or Databricks to solve business process problems.

Skills

Python SQL SAS R Snowflake Databricks Tableau Alteryx Machine Learning Predictive Modeling Clustering Text Mining Statistical Forecasting Data Mining Relational Databases Query Optimization

What you'll do

Develop insights and tools from large datasets using predictive modeling, machine learning, and statistical forecasting.
Integrate data from multiple sources and disparate databases to inform business strategies.
Identify improvement opportunities by detecting defects and statistical anomalies within business processes.
Define quantifiable goals and key performance indicators to measure and improve business performance.
Build and maintain interactive dashboards to provide transparency into strategic progress.
Communicate complex analytical results and findings clearly to varied internal stakeholders.
Design and implement strategic sales initiatives from a data and analytics perspective.
Improve and assess processes and controls to ensure consistent, measurable business results.

What we're looking for

Master’s degree with 3 years of experience or Bachelor’s degree with 5 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 processing.
Demonstrated ability to communicate analytical findings clearly and influence business stakeholders.
Hands-on experience designing, building, and operating solutions on cloud data platforms like Snowflake, AWS, or Databricks (preferred).
Experience with server-based dynamic and interactive reporting solutions (preferred).

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