Senior Associate Audit Chief Data Office Data Scientist

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
25 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $169k
$114k most similar roles pay here $219k

This listing doesn't post a salary. Most similar roles pay $140,000–$197,250.

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 Audit Chief Data Office Data Scientist

Audit Chief Data Office - Data Scientist - Senior Associate joins the Audit Data Strategy Team to develop AI/ML solutions that influence how risk is identified, assessed, and mitigated across the firm. This role involves designing advanced models to enhance control testing and supporting strategic initiatives through a mix of consulting, data science, and programming. The successful candidate will research and implement analytical approaches, including Generative AI and foundation models, while performing exploratory statistics and data mining on diverse datasets. Key responsibilities include defining business problems with partners and communicating findings to stakeholders. Required technical skills include proficiency in Python, R, SAS, SQL, Hive, Hadoop, Spark, Tableau, and Alteryx. The role also requires expertise in prompt engineering, retrieval-augmented generation, and managing LLM quality, cost, and latency within the context of Risk and Control Frameworks.

What you'll do

  • Develop AI/ML solutions to identify, assess, and mitigate risk across the firm.
  • Design and implement advanced analytical models to enhance control testing.
  • Identify novel use cases for Big Data analytics and Generative AI applications.
  • Define business problems and scope technical analytical solutions with internal partners.
  • Research, design, and evaluate various analytical approaches including GenAI-based methods.
  • Perform exploratory statistics and data mining tasks on diverse datasets.
  • Code high-quality analytical models using programming languages like Python, R, or SQL.
  • Communicate complex findings and project obstacles to stakeholders to drive market delivery.

What we're looking for

  • Bachelor's degree in a relevant quantitative field and 5+ years of data analytics experience, or an advanced degree and 3+ years of experience.
  • Authorization to work in the United States.
  • Proficiency in statistical software such as Python, R, or SAS and data querying languages like SQL.
  • Experience with modern analytics tools including Hive, Hadoop, Spark, Tableau, and Alteryx.
  • Familiarity with GenAI and prompt engineering basics, including design, evaluation, and guardrails.
  • Exceptional analytical, quantitative, problem-solving, and communication skills to convey complex information to diverse audiences.
  • Experience with LLM-enabled applications like RAG or agent workflows and knowledge of LLM quality metrics (preferred).
  • Understanding of Risk & Control Frameworks (preferred).

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