Delivery Lead-Quant Research

Build, test, and maintain alpha signals and model portfolios.

Conduct quantitative portfolio construction and optimization, including minimum variance strategies using Barra
risk models.

Develop and support data pipelines, analytics workflows, and research infrastructure using Python and
statistical libraries.

Leverage AI tools such as Claude to enhance research, analysis, and workflow efficiency.

Apply corporate finance analysis, including assessment of debt, cash flow, revenue, earnings, and consensus
estimates, to support investment decision-making.

Manage and utilize market and fundamentals data sources, including S&P Xpressfeed and Snowflake.?

Proficiency with GitHub repositories for version control and collaborative development.

Experience implementing CI/CD workflows using GitHub Actions.

Strong knowledge of Apache Airflow for workflow orchestration and automation.

Advanced Python programming skills, including expertise in libraries such as Pandas, NumPy, and SciPy.

Familiarity with AI-assisted research and productivity tools, including Claude.??

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