Enhance our platform through the creation and maintenance of tools, AI agents, MCP servers, and processes that streamline, scale, and standardize our ability to evaluate, clean, analyze, and disseminate data
Contribute to the data centralization process, ensuring all first- and third-party data assets are AI-accessible and meet quality, lineage, and governance standards
Present highly technical methods to non-technical stakeholders and translate open-ended questions into data-driven insights
Maintain and build relationships with key internal and external stakeholders, including research teams, third-party data vendors, management, and possibly buy-side clients
Qualifications
Required
Transferable experience on the sell-side or buy-side, in data science, data research, or similar function
STEM degree with preference for Computer Science, Data Science, Engineering, Statistics, Quantitative Finance, and related disciplines
Strong proficiency with Python, intermediate or better proficiency with SQL and/or Apache Spark
Experience analyzing and visualizing large datasets
Experience with AI-assisted development (Claude Code, GitHub CoPilot, Cursor, etc.)
Familiarity with LLMs, LangChain, vector databases, and RAG pipelines
Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders
Preferred
Demonstrated interest in fundamental equity research and financial modelling
Experience with Databricks or Snowflake and cloud platforms such as AWS
Experience with Atlassian project management tools (JIRA, Confluence, Bitbucket)
Experience with knowledge graphs
Primary Location Full Time Salary Range of $100,000 - $120,000.
