Business Banking Sales Quant Analytics Senior Associate

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: OH
Posted: 36 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

$105k most similar roles pay here $187k

This listing doesn't post a salary. Most similar roles pay $120,500–$175,925.

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 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 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 on the Data and Analytics team, you will support the sales strategy organization by transforming complex data into actionable insights for business stakeholders. You will perform diagnostic deep dives, forecasting, portfolio performance analysis, and test design while ensuring rigorous control execution and data quality. Your daily work involves integrating disparate databases to identify improvement opportunities, detecting anomalies, and developing tools using advanced analytics like predictive modeling, clustering, text mining, machine learning, and statistical forecasting. To succeed, you must utilize Python, SAS, or R, along with SQL and relational database knowledge. You may also leverage Snowflake, AWS, Databricks, Alteryx, and Tableau to build dashboards and optimize workflows. This role solves the challenge of translating complex analytical findings into clear, measurable outcomes for business performance and strategic decision-making.

Skills

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

What you'll do

Develop insights, methods, and tools from large datasets using advanced analytics like predictive modeling and machine learning.
Integrate data from multiple sources and disparate databases to inform business strategies.
Identify improvement opportunities by validating inputs and detecting statistical anomalies in business processes.
Design and implement strategic sales initiatives based on data-driven analysis and performance tracking.
Create dashboards, trend analyses, and key performance indicators to provide transparency into progress.
Translate complex analytical findings into clear, actionable insights for diverse stakeholders.
Improve and assess internal processes and controls to ensure consistent, measurable business results.

What we're looking for

A Master's degree and 3 years of experience, or a Bachelor's degree and 5 years of experience in a related field.
Demonstrated ability to communicate analytical findings clearly and influence business stakeholders at multiple levels of management.
Proficiency in standard data mining and analytical methods.
Proficiency in data analysis languages such as Python, SAS, or R.
Proficiency with relational databases and strong SQL skills.
Technical understanding of data extraction, transformation, and load processing.
Strong analytical, interpretive, and problem-solving skills with a focus on data quality and reliability.
Experience with cloud platforms (Snowflake, AWS, Databricks), reporting tools, Alteryx, or Tableau (preferred).

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