2026 Asset Management Data Scientist - Summer Assoicate

J.P. Morgan; City Of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading global financial services firm in London is seeking a Data Scientist for their Asset Management team. This role involves applying advanced NLP and AI techniques to enhance investment processes and improve client experiences. The successful candidate will develop business-centric products, working closely with investors and portfolio managers to deliver actionable insights from financial data.

Qualifications

• Proven experience in natural language processing and working with large language models.
• Strong analytical skills with an understanding of financial markets and asset management.
• Excellent communication skills and ability to work collaboratively in a fast-paced environment.

Responsibilities

• Develop technical solutions utilizing large language models for content extraction, search, question answering.
• Build comprehensive testing setups to evaluate model performance.
• Collaborate with engineering teams to deliver high-quality, scalable solutions.

Skills

Natural language processing

Large language models

Programming in Python

Analytical skills

Excellent communication

Education

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

Tools

Machine learning libraries

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.