Top Quantitative Researcher Jobs in NYC, NY
Global Quantitative Strategies is seeking a Quantitative Researcher to develop robust systems and apply advanced statistical and quantitative modeling techniques to identify and act on investment opportunities.
At Citadel Securities, a leading global market maker, our team of quantitative researchers models the markets and brings trading strategies to life every day. We are looking for an extraordinary quantitative researcher to conduct research, statistical analyses, and develop trading models.
Join HRT as a Quantitative Researcher (Mid-Freq) and develop mid-frequency systematic trading strategies.
Quantitative Researcher position in Equity Model Research at Citadel. Responsibilities include research portfolio construction, risk management, and development of risk models. Requires advanced training in statistics, mathematics, or related field.
Quantitative Researchers at Citadel develop next-generation models and trading approaches for investment strategies, utilizing complex statistical techniques in financial markets and unconventional data sources. Responsibilities include conceptualizing valuation strategies, backtesting trading models, and conducting research and statistical analysis.
Quantitative Researchers at Citadel Securities develop next-generation models and trading approaches for investment strategies using sophisticated statistical techniques on complex financial data sets. Responsibilities include conceptualizing valuation strategies, back testing trading models, utilizing unconventional data sources, and conducting statistical analysis for trading signals.
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.
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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.
Seeking highly qualified Quantitative Researchers with 3+ years of experience in equity statistical arbitrage alpha research. Responsibilities include signal generation, portfolio construction, and trade execution leveraging top-notch research and trading infrastructure. Must have expertise in Python and a technical or quantitative degree from a top-tier university.
The Quantitative Researcher will leverage existing research and infrastructure to develop systematic trading strategies through data analysis and backtesting. The role involves collaborating with the Portfolio Manager to generate alpha signals and improve trading tools, requiring strong programming skills and a proactive problem-solving approach.
The Quantitative Researcher will research and develop trading strategies, conduct quantitative research on market microstructure, develop predictive models for trade execution, and collaborate with cross-functional teams to implement trading solutions while staying updated on market changes.
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 Cubist Quantitative Researcher will independently conduct quantitative finance research focusing on statistical and predictive models. Responsibilities include methodology selection, data collection, analysis, testing, backtesting, and performance monitoring while utilizing large datasets.
Building models, strategies, and systems that price and trade a variety of financial instruments. Analyzing large datasets, building and testing models, creating new trading strategies, and writing code.
As a Quantitative Researcher, you will develop innovative quantitative strategies by analyzing market data using machine learning algorithms and statistical methods. The role involves generating impactful research in a collaborative environment, focusing on time-series analysis and numerical analysis in Python.
The Quantitative Researcher will work closely with senior researchers to create and improve trading models and strategies, conduct independent research, and contribute to algorithmic trading projects.
As a Staff Research Lead in Epidemiology and Patient Data Products at Valo Health, you will lead research projects in drug discovery and development using real-world data studies. Collaborate with a diverse team to tackle challenging problems and make a significant impact on global health by leveraging advanced computational techniques.
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