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The Quantitative Researcher will develop systematic trading models for various markets, focusing on alpha idea generation and backtesting. Responsibilities include improving existing strategies, evaluating new datasets, and contributing to the investment process within a team-oriented environment.
As a Quantitative Researcher, you will conduct in-depth quantitative research into systematic corporate bond and credit derivatives strategies. Your role includes implementing statistical and structural models, generating alphas and risk models, and collaborating with portfolio managers and traders to improve investment processes.
The Quantitative Developer will design and develop software systems for research and production, manage CI/CD pipelines, build data tools, automate order generation, and create UI tools for monitoring live trading activities. Responsibilities include ensuring system efficiency, robustness, and facilitating communication between developers and traders.
The Quantitative Developer will design and maintain the technology infrastructure for the Portfolio Construction and Analysis team. Responsibilities include improving automation, collaborating with researchers and technology teams, and refining data access and risk modeling systems.
The candidate will develop and improve the production trading system, conduct relevant research to enhance monetization, and build technologies that enhance research and trading productivity while expanding the system to new markets and asset classes.
The Quantitative Analyst will perform detailed analysis on portfolios to highlight strengths and weaknesses, develop new analytics for evaluating skills, and quantify market drivers to aid in decision making. They will also communicate findings to portfolio managers and contribute to shared research tools.
The Macro Quantitative Researcher will develop systematic trading models for macro markets, conduct innovative research, manage the research pipeline, and collaborate with the team to improve trading strategies. Responsibilities include feature engineering, strategy backtesting, and evaluating new datasets for alpha potential.
The Equity Quantitative Researcher will conduct innovative research to identify systematic anomalies in equity markets, develop alpha ideas, backtest strategies, and optimize for production, while maintaining trading portfolios. The role requires a strong foundation in applied statistics and proficiency in data manipulation using programming languages.
The Fundamental Data Researcher will design and own processes for normalizing and tracking fundamental data of public companies, conduct research to detect anomalies, and collaborate with the research team for predictive analysis on corporate events while exploring unstructured data sets.
The Cubist Portfolio Manager manages portfolio risk and oversees automated trade execution. They supervise a team, design and manage advanced quantitative modeling systems, execute extensive research, and develop statistical models to enhance trading strategies and expand markets.
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