Business Banking Sales Quant Analytics Senior Associate

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

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

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How this pay compares to similar roles

Similar $148k

$103k $188k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $120,137–$175,000.

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 1262 open roles on FindRole.

Listed pay typically runs $150,433–$215,000 across 11 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 responsibilities include developing insights from large datasets using predictive modeling, clustering, text mining, machine learning, and statistical forecasting. You will integrate data from disparate databases to identify improvement opportunities and surface statistical anomalies. Required skills include proficiency in Python, SAS, or R, along with strong SQL skills and experience with relational databases. You will also utilize tools like Snowflake, AWS, Databricks, Alteryx, and Tableau to deliver dashboards and optimize business performance.

Skills

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

What you'll do

Develop insights and tools from large datasets using predictive modeling, machine learning, and statistical forecasting.
Integrate data from multiple disparate sources and databases to inform business strategies.
Identify improvement opportunities and detect statistical anomalies tied to business processes.
Improve and assess processes and controls to ensure consistent, measurable business results.
Define quantifiable goals and advise business owners on strategies and experimentation.
Execute key performance indicators, trend analyses, and segmentation to improve business performance.
Build and maintain interactive dashboards to provide transparency into progress.
Communicate complex analytical results and findings clearly to varied audiences and stakeholders.

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.
Strong analytical, interpretive, and problem-solving skills with attention to data quality and reliability.
Experience with cloud data platforms, dynamic reporting solutions, straight-through processing tools, or visualization tools (preferred).

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