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Responsible for developing custom equity factors, reviewing exposures, creating risk management tools, and providing equity advisory services, with 7+ years of experience.

Perform quantitative analysis and build models/tools to inform equity long/short investment and business decisions. Analyze performance, risk attribution, and portfolio construction; run statistical tests; implement process improvements; apply AI tools to accelerate research; present findings to senior stakeholders and partner with PMs, trading, operations, technology, data, and research teams.

The role involves designing and developing tools in Python for trading and risk management, maintaining data pipelines, and collaborating with teams to enhance trading strategies using advanced techniques.

Develop and implement enterprise-level risk analytics and exposure reporting, partner with risk managers to create strategy-specific monitoring, drive reporting to stakeholders, explore innovative risk-monitoring approaches (including AI), and present insights to senior management to support decision-making.