Top Quantitative Researcher Jobs in NYC, NY

The Quantitative Researcher will collaborate on empirical research, develop investment solutions, maintain analytical tools, and contribute to investment management.

The role involves identifying market opportunities, constructing models, developing analyses, implementing, and testing models in trading systems, while collaborating with traders and developers.

Interns work on quantitative problems to enhance trading algorithms, apply data analysis tools, and collaborate with senior mentors in financial markets.

The Quantitative Researcher role involves applying econometric models and data science techniques to analyze trends in commercial real estate, while developing scalable data workflows and collaborating with engineering and data teams.

The role involves formulating mathematical models for investment strategies related to commodities, enhancing trading through algorithms, and performing ad hoc market analysis.

Interns will collaborate with the research team on projects, learning key trading concepts and engaging in hands-on activities.

Quantitative Researchers analyze vast data sets to identify patterns and insights, developing forecasts for equity markets and engaging in portfolio trading.

The Quantitative Researcher uses AI and quantitative techniques to enhance investment strategies by delivering data-driven insights and collaborating with analysts and portfolio managers.

The Quantitative Researcher (NLP) will use NLP for data feature construction, formulate research hypotheses for alpha generation, build and test trading signals, and launch signals into production.

As a Quantitative Researcher, you'll develop strategies using alternative datasets to improve investment decisions, design and backtest models, and collaborate across teams to scale research into quant products.

Lead quantitative research focusing on the monetization strategies, guiding teams on research agendas, and synthesizing data into actionable insights. Collaborate with cross-functional teams to balance monetization and user engagement, presenting findings to senior leadership.