Asset Management Data Scientist - Summer Associate

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $169k
$114k $222k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$211,200.

Based on 240 similar postings.

Employer

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 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Asset Management Data Scientist - Summer Associate

The 2027 Asset Management Data Scientist - Summer Associate joins the Asset Management Data Science team to develop business-centric products that enhance investment processes and streamline operations. This role involves using expertise in natural language processing and large language models to extract vital insights from financial reports, analyst notes, and client communications. Key responsibilities include developing technical solutions for content extraction, search, question answering, reasoning, and recommendation systems. The candidate will build comprehensive testing setups to evaluate model performance and collaborate with engineering teams to deliver scalable solutions. Required skills include proficiency in Python, familiarity with machine learning libraries and frameworks, and an advanced degree in Data Science, Computer Science, or Machine Learning. The work focuses on solving investment challenges by applying advanced AI methodologies to large-scale financial data.

What you'll do

  • Develop technical solutions using large language models for content extraction, search, and reasoning.
  • Build comprehensive testing setups to evaluate model performance, efficacy, and reliability.
  • Extract vital insights from financial reports, analyst notes, and client communications.
  • Create business-centric products to enhance investment processes and streamline operations.
  • Partner with engineering teams to deliver high-quality, scalable technical solutions.
  • Study scientific articles and research papers to identify and implement emerging techniques.

What we're looking for

  • Advanced degree in Data Science, Computer Science, or Machine Learning.
  • Proven experience in natural language processing and working with large language models.
  • Proficiency in programming languages such as Python.
  • Familiarity with machine learning libraries and frameworks.
  • Excellent communication skills and ability to work collaboratively in a fast-paced environment.
  • Strong analytical skills with an understanding of financial markets and asset management.

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