at J.P. Morgan
Bulge Bracket Investment BanksPosted 15 days ago
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**"Asset Management Data Scientist - Summer Associate" drives investment decision-making using News NLP & AI. **Transformer models** enhance financial data analysis, empowering actionable insights. **Key responsibilities**: develop NLP solutions, create testing setups, collaborate with engineers. **Requirements**: advanced data science or CS degree, **Python proficiency**, machine learning experience, strong analysis & communication skills. **Domain**: financial markets & asset management. **Join our team** to transform investing decisions with data-driven innovation.
- Compensation
- Not specified
- City
- New York City
- Country
- United States
Currency: Not specified
Full Job Description
Location: New York, NY, United States
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.
