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The Data Operations Analyst ensures smooth implementation and delivery of data to portfolio managers by supporting data pipelines, validation, cleaning, and documentation. Requires technical expertise in support roles and specific tools.

In this role, you will enhance fund reporting processes, prepare financial statements, collaborate with various teams, and drive automation improvements.

The role involves managing quantitative research projects, testing investment hypotheses, and applying regression modeling techniques for equity investment strategies.

The Data Scientist will identify new data sets, build processes for data collection, analyze data for potential applications, and research alpha signals for portfolio managers.

The Cubist Quantitative Developer will design and optimize production pipelines and troubleshooting tools for equity portfolios.

As a Data Engineer, you will develop and support big data processing pipelines, build cloud-based infrastructure, and provide visualization solutions for data assets.

The Quantitative Researcher will research market anomalies, perform data processing, optimize strategies, and maintain portfolio trading systems.

Conduct original quantitative alpha signal research, manage research processes, evaluate datasets, and improve upon academic research findings.

Entry-Level Quantitative Researchers conduct rigorous quantitative research, focusing on predictive models and working through the entire research process.

The User Access Certification Analyst will manage user access certification programs, coordinate audits, automate workflows, and perform data analysis to improve access governance at Point72.