Top Quantitative Researcher Jobs

The Quantitative Researcher will develop and optimize trading strategies, analyze data for alpha signals, and collaborate on financial models.

As a Quantitative Researcher, you'll develop trading algorithms, analyze financial data, create predictive models, and collaborate within a research team.

The internship requires students with a strong academic background in STEM or finance to contribute to quantitative research by designing systematic investment strategies.

As a Quantitative Researcher, you will develop sports pricing capabilities by designing data pipelines, calibrating pricing models, and deploying models into trading strategies.

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

Nine-week summer internship working with the research team on development projects. PhD-level quantitative problem solving, mentorship, classroom instruction, strategy games, and hands-on projects. Requires strong math, basic programming experience, teamwork, independence, and attention to detail.

Design and implement low-latency market making or liquidity-taking strategies. Build mathematical and stochastic models, analyze algorithmic convergence and boundedness, translate models into high-performance code, and collaborate with developers to deploy latency-sensitive alpha signals across multiple asset classes.

Develop and optimize machine learning and statistical models to predict liquid asset movements. Parse and analyze large datasets, implement academic research for alpha generation, and collaborate with Data, Alpha, and Strategy teams to design market-neutral trading strategies and run simulations to validate hypotheses.

Conduct quantitative research focusing on predictive models, data analysis, alpha discovery, and trading strategy generation as part of a collaborative research team.

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 intern will collaborate with a team to develop and implement quantitative trading signals and models, focusing on statistical methodologies in quantitative finance.

Research, develop, and implement systematic fixed income trading signals; improve strategy monetization and execution (via electronic venues like TradeWeb/MarketAxess); write scalable code and technical reports; present findings and take signals from inception to live trading.

Conduct execution-quality research across global markets: model market impact and slippage, design A/B tests and causal analyses, build optimization and simulation tools, and deliver analytics and decision support to traders and PMs for improved order routing and execution.

The Quantitative Researcher will design portfolio optimization frameworks, develop trading strategies, and analyze performance in live trading using optimization solvers like MOSEK.

The Quantitative Researcher designs multi-period portfolio optimization frameworks, implements trading strategies, and analyzes model performance in live trading environments.

Quantitative Researchers will perform statistical analysis, research asset return patterns, write production-quality code, and improve portfolio construction within a systematic investment process.

Join a six-month training cohort to learn options theory and trading systems, then contribute to research, build trading intelligence tools, develop automated trading algorithms and pricing models, monitor and optimize strategies, and maintain the company codebase.

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

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

The Senior Quantitative Researcher will lead alpha research, develop predictive signals and models, analyze performance, collaborate with traders and engineers, and mentor junior researchers.

The role involves designing and evaluating systematic trading strategies, improving existing processes, and utilizing statistical modeling techniques in futures markets.

The role involves developing and enhancing quantitative trading models to improve portfolio performance in global equity markets.

The Senior Quantitative Researcher will develop systematic investment strategies, manage research projects, evaluate data sources, and enhance investment models and portfolio construction. Responsibilities include conducting quantitative research and ensuring effective communication of findings.

Conduct research to extract predictive signals from high-frequency market microstructure data, design features, develop statistical and machine-learning trading models, build research infrastructure, and collaborate with researchers and Portfolio Managers to deploy strategies to production.