2026 Asset Management Data Scientist - Summer Assoicate

JPMorganChase; City Of London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading global financial services firm in London is seeking a Data Scientist - Summer Associate. You will leverage advanced NLP and AI methodologies to drive insights for investment processes, collaborating closely with stakeholders to automate decision-making. Ideal candidates have a strong background in data science and proven experience with NLP and large language models.

Qualifications

• Proven experience in natural language processing.
• Familiarity with machine learning libraries and frameworks.
• Excellent communication skills and ability to work collaboratively.

Responsibilities

• Develop technical solutions utilizing large language models for content extraction.
• Build comprehensive testing setups to evaluate model performance.
• Collaborate with engineering teams to deliver high-quality solutions.
• Study scientific articles to identify emerging techniques.

Skills

Natural language processing

Large language models

Python

Analytical skills

Education

Advanced degree in Data Science, Computer Science, or Machine Learning

Job 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.

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

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.