Data Scientist - Investment Team

We are seeking a Data Scientist to partner directly with our fundamental investment analysts and Portfolio Managers within one of our trading teams.

This person will develop and curate high-quality data assets from the datasets we already license and generate, produce actionable investment insights through rigorous statistical analysis, and help define and execute our AI/LLM integration roadmap across the research and investment workflow.

This is a highly applied role: you will ship data products, analyses, and tooling that materially improve how our investment teams source ideas, test theses, monitor positions, and communicate insights.

Responsibilities

• Inventory, evaluate, and integrate internal and vendor datasets into usable, well-documented research-ready data assets with strong data quality controls.
• Develop reusable data models, metrics, and entity mapping.
• Translate PM/analyst questions into structured analyses and empirical tests; deliver conclusions clearly with caveats and sensitivities.
• Apply statistics and econometrics to evaluate signals and explain drivers.
• Build monitoring and diagnostics for data drift, signal decay, and regime changes.
• Prototype and productionize AI-enabled research process and workflows with clear evaluation criteria.
• Establish best practices for prompts, retrieval-augmented generation, tool use, and governance.
• Build lightweight internal tools and interfaces that make data and insights easy to consume.

What You Bring

• 4+ years of experience in data science.
• Strong Python skills and experience with data warehouses, specifically Snowflake.
• Familiarity with search, embeddings, vector databases, and evaluation of LLM systems.
• Experience with cloud tooling and orchestration.
• Strong foundation in statistics and inference.
• Experience in fundamental investing workflows.

Salary Range

The estimated base salary range for this position is $150,000 to $200,000.