Data & Marketing Systems Quant Analytics Lead Senior Associate

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Wilmington, DE
Posted
44 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $167k
$114k most similar roles pay here $219k

This listing doesn't post a salary. Most similar roles pay $135,000–$199,096.

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 · Data & Marketing Systems Quant Analytics Lead Senior Associate

As the Data & Marketing Systems Quant Analytics Lead-Senior Associate within the Marketing Execution team, you will design and execute data strategies to improve audience targeting, measurement, and operational efficiency. You will modernize targeting data, automate manual reporting, and implement proactive monitoring systems to ensure reliability. Your daily work involves translating business needs into technical requirements, building reusable audience frameworks, and developing documentation for generative AI-accelerated workflows. You will collaborate with Product and Technology teams to integrate machine learning insights and ensure responsible human-in-the-loop AI practices. To succeed, you must be proficient in SQL, Python, Excel, Tableau, Adobe, and Segment while possessing expertise in customer segmentation and digital marketing principles. You will solve complex problems regarding data quality, cycle-time reduction, and the integration of automated systems to deliver consistent, high-quality customer experiences at scale.

What you'll do

  • Develop data management strategies to automate reporting and improve reliability through AI-assisted monitoring.
  • Refine audience targeting by integrating machine learning insights and systems of record into marketing execution.
  • Create reusable audience frameworks and documentation to accelerate delivery and reduce manual rework.
  • Implement proactive monitoring, alerts, and anomaly flags to ensure high-quality data for message-driven targeting.
  • Translate business requirements into technical specifications for product development and omnichannel initiatives.
  • Establish "human-in-the-loop" operating models to ensure the safe and responsible scaling of AI tools.
  • Quantify and report the value of automation through metrics like cycle-time reduction and hours saved.

What we're looking for

  • Bachelor's degree in Data Science, Statistics, Information Systems, or a related field.
  • Experience in data analytics or customer segmentation with the ability to connect outputs to campaign outcomes.
  • Proficiency with SQL, Python, Excel, Tableau, Adobe, and Segment to build repeatable datasets and automation-friendly outputs.
  • Ability to translate business requirements into technical specifications for non-technical partners.
  • Knowledge of digital marketing principles and measurement to run structured test-and-learn optimization.
  • Ability to build cross-functional relationships and communicate complex topics clearly without jargon.
  • Experience in marketing operations, marketing technology, or AI-enabled targeting (preferred).
  • Proficiency in project management and agile tools like Jira or Confluence (preferred).

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