Vice President, Applied AI/ML

JPMorgan Chase

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
156 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $200k
$130k most similar roles pay here $254k

This listing doesn't post a salary. Most similar roles pay $157,200–$242,000.

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 · Vice President, Applied AI/ML

As the Applied AI/ML - Vice President within the C360 Data Science Center of Excellence, you will lead the strategic vision for a greenfield initiative aimed at building a 360 view of client data to unlock business opportunities through data insights. You will steer modeling and analytical initiatives while advancing the firm's agenda in Artificial Intelligence, Machine Learning, and Agentic AI. Your daily responsibilities include leading the design and execution of data science projects, collaborating with cross-functional partners in Risk and Finance, and delivering executive-level presentations to diverse stakeholders. The role requires expertise in LLMs, RAG, NLP, semantic searching, and big data technologies. You must possess advanced quantitative skills, proficiency in Python and Pyspark, and the ability to manage global analytical teams while navigating complex financial markets and modeling requirements.

What you'll do

  • Define and execute the strategic vision for the Data Science agenda within the Client 360 organization.
  • Lead the design, development, and execution of modeling and analytical initiatives using AI/ML and Agentic AI.
  • Drive consensus among stakeholders and senior management across Risk, Finance, Technology, and other corporate functions.
  • Create executive-level presentations that translate complex analytical elements for diverse audiences.
  • Monitor trends in economics, financial markets, and analytical innovations to inform modeling and forecasting.
  • Manage and lead global analytical teams to move concepts from ideation to execution.
  • Oversee the implementation of advanced AI techniques including NLP, LLMs, and RAG within a big data environment.

What we're looking for

  • Advanced Graduate Degree (Master’s or PhD) in Mathematics, Statistics, Quantitative Finance, or a related quantitative field.
  • Expertise in AI techniques including ML, NLP, semantic searching, LLMs, RAG, and big data.
  • Strong programming skills in Python and PySpark.
  • Advanced Excel and Microsoft Office skills.
  • Experience building and managing global analytical teams.
  • Excellent verbal and written communication skills for preparing and delivering executive-level presentations.
  • Ability to provide strategic guidance and oversight to a quantitative team from ideation to execution.
  • Familiarity with economics, financial products, and financial forecasting concepts.

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