Quant Analytics Associate Senior

JPMorgan Chase

Quick summary

Work type: On-site
Location: Plano, TX
Salary: $95,000–$135,000 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $150k

This role $115k

$85k most similar roles pay here $186k

This role pays less than 85% of similar roles. Most pay $124,100–$176,062 — the shaded band above. At the midpoint, this role pays about $115k versus about $150k 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 510 open roles on FindRole.

Listed pay typically runs $147,250–$205,000 across 269 roles with salary data.

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View all roles at JPMorgan Chase

At a glance

TL;DR · Quant Analytics Associate Senior

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As a senior quantitative analytics associate on the DART (Data, Analytics and Reporting Team) within Consumer & Community Banking, you will design and implement automated solutions to enhance operational efficiency in complex banking environments. Your daily tasks include building end-to-end MIS solutions from requirements gathering to visualization using Python and SQL for ELT/ETL pipelines, Tableau for executive dashboards, and advanced analytics techniques like forecasting and anomaly detection. You will also manage data quality frameworks, ensure compliance with governance standards, and mentor junior team members while leading cross-functional projects. This role requires expertise in SQL, Python (pandas, NumPy), cloud services such as Snowflake and AWS, and strong communication skills to translate complex findings into actionable insights for senior stakeholders.

Skills

Python SQL Tableau Snowflake AWS Airflow dbt Docker CI/CD pandas NumPy pytest Alteryx R time series forecasting machine learning data visualization data engineering KPI design data governance data quality frameworks

What you'll do

Own end-to-end MIS solution delivery from requirements to visualization.
Design and build reliable ELT/ETL pipelines using Python/SQL for data transformation.
Create executive-ready dashboards with intuitive UX in tools like Tableau.
Apply advanced analytics techniques to optimize operational performance.
Implement data quality frameworks including unit tests, validation checks, and anomaly monitoring.
Translate complex findings into concise narratives for senior stakeholders.

What we're looking for

5+ years of hands-on analytics experience in operations analytics or MIS.
Expert-level SQL and strong Python skills for data manipulation and automation.
Proven experience building automated data pipelines in cloud environments.
Strong data visualization skills with tools like Tableau for executive narratives.
Working knowledge of machine learning and applied statistics for operational use cases.
Excellent verbal and written communication skills to influence decisions.
Banking industry experience, especially in Consumer & Community Bank Operations.

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