Data Science Senior Associate, Card Data & Analytics

JPMorgan Chase

Quick summary

Work type
On-site
Location
Wilmington, DE
Posted
15 days ago

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How this pay compares to similar roles

Similar $161k
$108k most similar roles pay here $216k

This listing doesn't post a salary. Most similar roles pay $126,800–$195,752.

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 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

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At a glance

TL;DR · Data Science Senior Associate, Card Data & Analytics

As a Data Science Senior Associate in the Card Data & Analytics team, you will develop AI/ML solutions to drive business growth for our Credit Card division by leveraging data analytics and programming skills. Your daily tasks include identifying novel use cases of Big Data analytics, applying foundation models and Generative AI responsibly, and collaborating with partners to define problems and scope analytical solutions. You will research, design, implement, and evaluate advanced analytical approaches, perform exploratory statistics on diverse datasets, and communicate findings effectively to stakeholders. The role requires strong programming skills in Python or R, knowledge of statistical software like SAS and SQL, familiarity with GenAI basics, and experience with modern analytics tools such as Hadoop, Spark, and Tableau. Understanding the financial drivers within credit card operations is crucial, making this a unique opportunity for those with a background in financial services.

What you'll do

  • - Uncover novel use cases of Big Data analytics, including responsible application of foundation models and Generative AI.
  • - Drive data science strategies by recommending analytical products and standards.
  • - Define business problems and scope solutions with partners across the Card business.
  • - Research, design, implement, and evaluate GenAI-based analytical approaches and models.
  • - Perform exploratory statistics and data mining on diverse datasets to derive insights.

What we're looking for

  • 3+ years of data analytics experience in a quantitative field.
  • Strong programming skills with proficiency in Python, R, SAS, SQL.
  • Experience in researching and implementing AI/ML models, including GenAI.
  • Ability to define business problems and scope analytical solutions effectively.
  • Excellent communication skills for conveying complex information to stakeholders.
  • Leadership and collaboration skills for cross-team projects.
  • Intellectual curiosity and problem-solving abilities for innovative solutions.

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