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Java software engineer building portfolio implementation platforms, cloud-based microservices, and bespoke tools that power quantitative investment strategies at a global investment management firm.
About AQR Capital Management AQR is a global investment firm built at the intersection of financial theory and practical application. We strive to deliver concrete, long-term results by looking past market noise to…
AQR is hiring an Electronic Trading Analyst in Greenwich, CT to work as both a trader and execution analyst — executing trades across asset classes while performing transaction cost analysis, execution measurement, and market structure research, and building analytical tools over large trading datasets to improve execution strategies and trading algorithms.
Build and expand AQR’s private banking relationships across Asia by pitching investment strategies and maintaining client service for wealth managers and institutional investors.
Bridge data engineering and quantitative research by preparing, validating, and delivering clean research-ready datasets and features for ML models, using Python, SQL, and LLM-based workflows at a systematic investment firm.
The Research Analyst will develop and maintain proprietary quantitative investment strategies for managed futures and commodities. The role involves performing statistical research, data analysis, and collaborating with portfolio managers to enhance research infrastructure.
The Portfolio Finance Summer Analyst will support the firm's financing, clearing, and cash management activities through hands-on projects and collaboration with investment teams. This 10-week internship is designed for students in quantitative fields to gain exposure to systematic investment operations and financial resource management.
Quant Research Engineer building proprietary systems for quantitative strategy research—including signal/data infrastructure, research APIs, and backtesting engines—primarily using Python and databases.
The 2027 Engineering Summer Analyst program at AQR is a 10-week internship where students collaborate with engineers and researchers to build scalable applications, backend systems, and data tools. Interns gain hands-on experience with technologies like Python, Java, C#, Go, and cloud infrastructure while participating in the firm's Quanta Academy learning series.
This summer analyst role involves working with researchers to build and refine systematic investment strategies, data ingestion engines, and portfolio management infrastructure using Python and Java. The position focuses on developing scalable, cloud-based tools and production workflows to support quantitative financial research.
Summer internship building and optimizing systematic investment portfolios using Python, MATLAB, R, and SQL while analyzing financial markets and quantitative signals.
The Summer Research Analyst program at AQR involves working on quantitative investment strategies, analyzing market data, and collaborating with portfolio managers. Interns will utilize programming skills, primarily Python, to conduct statistical and economic research within a systematic investment framework.
Summer analyst internship on AQR's Risk Management team, focusing on market and liquidity risk monitoring, quantitative research, and developing risk methodologies using Python, Matlab, or C++.
Enhance and support AQR's Salesforce platform by designing new screens/functionality, testing, and handling admin setup. Core technologies: Salesforce (Sales/Service/Experience Cloud), Lightning Web Components, Aura, Apex, and CI/CD.
The researcher will develop and implement quantitative investment strategies for global equities by building machine learning models and analyzing large financial datasets. The role involves collaborating with portfolio managers to improve alpha signals and refine proprietary research systems.
The Junior Project Manager / Business Analyst will coordinate firmwide engineering initiatives, manage project lifecycles, and act as a liaison between business stakeholders and development teams. The role involves gathering requirements, tracking project progress, and utilizing AI tools to improve documentation and delivery efficiency.
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