2026 Asset Management Data Scientist - Summer Assoicate

J.P. MORGAN-1; City Of London; On-site; GBP 30,000 - 40,000; Full time

Job summary

A leading financial services firm in London seeks a Summer Associate Data Scientist specializing in NLP and AI methodologies. You will collaborate with investors to develop innovative solutions that enhance investment processes. Ideal candidates possess advanced degrees in Data Science or related fields and have solid experience in natural language processing, programming in Python, and a grasp of financial markets. This role offers a chance to make a tangible impact on investment decision-making processes.

Qualifications

• Proven experience in natural language processing.
• Familiarity with machine learning libraries and frameworks.
• Understanding of financial markets and asset management.

Responsibilities

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

Skills

Natural Language Processing

Large Language Models

Programming in Python

Analytical Skills

Communication Skills

Education

Advanced degree in Data Science or related fields

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.