JPMorgan Chase & Co.

2027 Asset Management Data Scientist - Summer Associate

JPMorgan Chase & Co. New York, New York, United States · $135K–$155K/yr

Financial Services · 10,001+ employees

6 h ago
data-scientist Junior (0-2 yrs) Full-time Internship United States
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About the role

Develop technical solutions using large language models for content extraction, search, and reasoning to enhance investment processes. Collaborate with engineering teams and portfolio managers to deliver scalable, data-driven insights and automate operational tasks.

What they look for

Natural Language Processing Large Language Models Python Machine Learning Data Science Computer Science Financial Markets Asset Management Content Extraction Model Performance Evaluation Data Analysis Process Automation Communication Skills Collaboration

Requirements

Requires an advanced degree in Data Science, Computer Science, or Machine Learning. Candidates must have proven experience in natural language processing and proficiency in Python programming.

Full description

Are you passionate about applying advanced NLP and AI methodologies to real-world investment challenges? Join our Data Science team and help transform how investors make decisions by generating actionable insights from large-scale financial data. This is your opportunity to work with cutting-edge technology, collaborate with industry experts, and make a meaningful impact on our investment platform.

As an Asset Management Investment Platform Data Scientist – Summer Associate in the Asset Management Data Science team, you will use your expertise in NLP and large language models to develop business-centric products that enhance investment processes, improve client experiences, and streamline operations. You will work closely with investors and portfolio managers to extract vital insights from financial reports, analyst notes, and client communications, empowering data-driven decision making and process automation.

Job responsibilities

  • Develop technical solutions utilizing large language models for content extraction, search, question answering, reasoning, and recommendation.
  • Build comprehensive testing setups to evaluate model performance and ensure efficacy and reliability.
  • Collaborate with engineering teams to deliver high-quality, scalable solutions.
  • Study scientific articles and research papers to identify emerging techniques and discover new approaches.

Required qualifications, capabilities, and skills

  • 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 and familiarity with machine learning libraries and frameworks.
  • Excellent communication skills and ability to work collaboratively in a fast-paced, dynamic environment.
  • Strong analytical skills with an understanding of financial markets and asset management.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

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