Senior Associate Data Science, Card Data & Analytics

JPMorgan Chase

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Wilmington, DE
Posted
66 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $171k
$116k most similar roles pay here $220k

This listing doesn't post a salary. Most similar roles pay $141,800–$200,500.

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 · Senior Associate Data Science, Card Data & Analytics

As a Data Science Senior Associate in the Card Data & Analytics team, you will develop AI/ML solutions to drive results for the Credit Card business. You will collaborate with partners to define problems, scope analytical solutions, and deliver high-quality models while building expertise in financial and operational domains. Your daily work involves performing exploratory statistics, data mining on diverse datasets, and researching advanced methods including Generative AI and foundation models. To succeed, you must utilize programming skills in Python, R, or SAS along with SQL for data querying. You will also leverage tools like Hive, Hadoop, Spark, Tableau, and Alteryx to deliver actionable insights. The role requires proficiency in prompt engineering and experience with LLM-enabled applications such as retrieval-augmented generation, classification, and extraction from unstructured text to solve complex business problems within the credit card sector.

What you'll do

  • Develop AI/ML solutions and GenAI models to drive results for the Credit Card business.
  • Identify new use cases for Big Data analytics and foundation models.
  • Define business problems and scope analytical solutions with internal partners.
  • Research, design, and implement various analytical approaches and data mining tasks.
  • Drive data science strategies including recommendations on products and standards.
  • Code technical solutions using programming languages like Python, R, or SQL.
  • Communicate complex findings and obstacles to stakeholders to drive market delivery.

What we're looking for

  • Bachelor's degree in a relevant quantitative field and 3+ years of data analytics experience, or an advanced degree and 2+ years of experience.
  • Proficiency in statistical software such as Python, R, or SAS.
  • Proficiency in data querying languages like SQL.
  • Experience with modern analytics tools including Hive, Hadoop, Spark, Tableau, and Alteryx.
  • Familiarity with Generative AI and prompt engineering basics, including design, evaluation, and guardrails.
  • Experience with LLM-enabled applications such as RAG, text extraction, or agent-like workflows.
  • Exceptional analytical, quantitative, problem-solving, and communication skills.
  • Ability to convey complex information to both technical and non-technical audiences.

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