Applied AI Researcher
About The Position
We are seeking a highly motivated Applied AI Researcher to contribute to our data science and Ai investment solutions initiatives. This position is open to recent graduates with a strong quantitative foundation and a genuine interest in applied AI research. You will work closely with applied AI researchers, data engineers, equity analysts and portfolio managers to develop AI-driven solutions at the intersection of large language models, agentic workflows, and investment research. The successful candidate will bring intellectual rigor, attention to detail, and a curiosity to explore how emerging AI techniques can meaningfully enhance the research process.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field
- Strong proficiency in Python with demonstrated experience in data manipulation, transformation, and analysis of structured and unstructured datasets
- Solid foundational knowledge in data science or machine learning (e.g. Scikit-learn, Pandas, basic NLP)
- Exceptional attention to detail and a methodical, rigorous approach to problem solving
- Interest in LLMs and agentic AI, with hands-on exposure through coursework, research, or personal projects preferred
- Familiarity with software engineering best practices, including version control and code maintainability
Nice To Haves
- Knowledge of knowledge graphs or experience with graph databases is a plus
Responsibilities
- Ensure data quality and integrity through rigorous data wrangling and preparation, forming the foundation of reliable AI outputs
- Design and evaluate Retrieval-Augmented Generation (RAG) pipelines and prompt/context engineering strategies to improve the relevance and accuracy of LLM outputs in an investment research context
- Build and maintain knowledge graph pipelines that organize and connect structured investment data for use in downstream AI applications
- Develop and iterate on agentic AI workflows that automate research tasks and surface investment insights for equity analysts and portfolio managers
- Collaborate cross-functionally to deliver well-tested, reproducible systems that can be adopted by research teams at scale
Benefits
- paid time off
- medical/dental/vision insurance
- retirement
- life insurance
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
