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.
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Job Type
Full-time
Career Level
Intern