Top Quantitative Researcher Jobs in NYC, NY

The Quantitative Researcher for Monetization will develop strategies for market opportunities, optimize performance using data, and apply machine learning in financial energy systems.

Develop systematic trading models, conduct alpha idea generation, backtesting, and enhance trading environments while utilizing advanced quantitative methods.

As a Quantitative Researcher, you will develop and implement quantitative trading signals and models, using statistical methodologies to evaluate research systems components.

The role involves building predictive models for blockchain performance and user behavior, implementing solutions, and owning production prediction pipelines.

The role involves conducting quantitative research in corporate bonds and credit derivatives, implementing models, and improving investment processes.

As a Quantitative Researcher, you will analyze data, develop alpha signals, collaborate on performance analysis, and create pricing models while assessing risk.

The role involves designing pricing models for options, developing execution algorithms, and enhancing risk analytics within a high-frequency trading environment.

Conduct research to find systematic anomalies in equity markets, develop strategies, evaluate datasets, and manage portfolio trading.

Conduct independent quantitative finance research focusing on statistical models, manage data collection, analysis, and performance monitoring.

As a Quantitative Researcher Intern, you will conduct research, develop quantitative trading signals, analyze large datasets, and enhance research infrastructure, while collaborating closely with the team.

The Macro Quantitative Researcher will develop systematic signals for macro markets, manage research pipelines, and improve trading models using various techniques.

Develop in-house trading strategies, conduct quantitative research, maintain predictive models, and collaborate with teams to enhance trading solutions.

Quantitative Researchers at Aquatic create and improve trading models using data and statistical methods, collaborating with engineers and leaders.

The role involves designing and deploying strategies for congestion revenue rights, applying quantitative methods, and developing machine learning models.

Partner with portfolio and risk managers to develop quantitative risk models, analyze U.S. power markets, improve backtesting and simulation infrastructure, attribute performance, track P&L and exposures, and deliver actionable insights to scale the trading and risk platform.

As a Quantitative Researcher at Jane Street, you will build models, analyze datasets, create strategies for trading, and write implementation code, primarily in OCaml.

As a Quantitative Researcher, you'll create and improve trading models while collaborating with senior researchers and conducting your own research.

Join BCBS as a quantitative researcher to support and manage systematic credit portfolios: validate data, develop signals and models, perform portfolio and risk analysis, optimize and hedge portfolios, build reporting/dashboards, and assist client- and product-related research and reporting.

The Quantitative Researcher will design, research, and deploy systematic trading strategies in global equity markets, conducting performance evaluation and managing risk.

As a Quantitative Researcher, apply economic and statistical models to large-scale data, collaborating to solve quantitative challenges across industries.

The role focuses on building tools for volatility research, designing trading strategies, analyzing data, and collaborating with a team to enhance trading strategies in volatility markets.

Quantitative Researchers analyze diverse data sets to uncover market patterns and develop forecasts for equity markets within a collaborative trading environment.

Quantitative Researchers will build models and strategies for pricing and trading financial instruments, collaborating closely with teams and using various techniques from statistical methods to deep learning.

As a Quantitative Researcher, you'll develop trading signals and models, implement research components, and evaluate them using statistical methods in a collaborative environment.

Lead quantitative UX research for AI-driven products: define measurement strategy, design large-scale surveys and behavioral analyses, build psychometric and evaluation frameworks, write SQL/Python/R analyses, partner with AI/ML and product teams, and mentor researchers to embed human-centered metrics into AI development.