Top Data & Analytics Jobs

Develop sophisticated investment and trading models using statistical techniques, machine learning, and real-world datasets. Conduct end-to-end quantitative research, test investment hypotheses, collaborate with engineers, analyze market behavior, and communicate complex findings. Participate in academic seminars, reading groups, and industry conferences focused on statistics, machine learning, and data science.

Develop and test sophisticated investment models using scientific methods, machine learning, quantitative techniques, and large datasets. Conduct independent research, create investment ideas, collaborate with engineers, analyze real-world data, and communicate complex findings. Participate in research discussions, academic seminars, and industry conferences covering statistics, machine learning, and data science.

Investigate and resolve production data alerts, create and improve operational runbooks, validate financial datasets, analyze data for trends and root causes, and improve data-management processes. The role supports time-sensitive global trading operations across Tokyo, Houston, and London, collaborating with engineers, analysts, and business partners to improve operational accuracy, efficiency, and risk management.

Leads complex business analyses for Engineering, building financial and operational models, datasets, metrics, dashboards, and executive decision materials. Identifies efficiency and cost-saving opportunities, designs resource-allocation frameworks, manages recurring planning and reporting, and coordinates cross-functional initiatives across Engineering, Product, Modeling, Finance, and Corporate teams.