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2027 Asset Management Data Scientist - Summer Associate

JPMorgan Chase & Co.Added 3h ago

New York, New York, United StatesInternship$135k – $155k

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Quick summaryby newgrad.ai

What you'll do

  • Build NLP and LLM solutions for financial data analysis and automation.
  • Create testing frameworks to validate model reliability and performance.
  • Partner with engineering teams to deploy scalable technical products.
  • Research academic literature to implement innovative data science techniques.

What they're looking for

  • Advanced degree in Computer Science, Data Science, or Machine Learning.
  • Demonstrated expertise in natural language processing and large language models.
  • Proficiency in Python and relevant machine learning frameworks.
  • Strong analytical background with knowledge of asset management and financial markets.

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.

From JPMorgan Chase & Co.'s public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

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