AI Research - Undergrad Intern
About The Position
The AI Research team works at the intersection of artificial intelligence and finance, building research-driven capabilities that help improve how investment teams discover, evaluate, reason about, and learn from complex financial information. We focus on applied AI problems such as trustworthy reasoning, retrieval and evidence synthesis, multimodal understanding of financial documents, learning from historical outcomes, and human-AI collaboration in high-stakes workflows. This internship is an opportunity to work on meaningful AI research problems with real-world relevance. The intern will contribute to exploratory research, prototyping, and evaluation efforts that support our broader AI research agenda. Depending on project needs, the intern may help investigate topics such as reasoning over financial evidence, uncertainty and trust in AI outputs, document and data understanding, retrieval and knowledge organization, and learning systems that improve over time. This role is ideal for a student who is excited by both technical depth and practical impact. The intern will gain exposure to real financial use cases while working on applied AI problems that matter for decision support, knowledge reuse, and research innovation across the firm.
Requirements
- Pursuing an undergraduate or master’s degree in computer science, data science, statistics, mathematics, engineering, finance, quantitative finance, or a related field
- Strong programming skills in Python; familiarity with data analysis and machine learning workflows
- Interest in applied AI research, especially topics such as reasoning, retrieval, NLP, multimodal systems, uncertainty, evaluation, or human-AI interaction
- Comfort working with ambiguous problems and learning new technical concepts quickly
Nice To Haves
- Interest in financial markets, investment research, or quantitative finance is a plus
Responsibilities
- Assist with research, prototyping, and experimentation across applied AI topics relevant to finance
- Contribute to literature reviews, technical notes, and research summaries to help the team compare approaches and identify promising directions
- Collaborate with researchers, engineers, and business stakeholders to translate open-ended problems into testable research tasks
- Present findings, prototypes, and recommendations in a clear and structured way
Benefits
- competitive hourly pay
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
Number of Employees
1-10 employees
