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Leads enterprise-scale IT infrastructure and platform modernization programs for a global investment firm, coordinating cross-functional teams to deliver cloud migrations, security upgrades, and operational improvements.
Ten-month paid training program preparing professionals for fundamental equities research roles, including financial modeling, accounting, and investment analysis.
Ten-month paid training program preparing professionals for fundamental equity research roles at Point72, focusing on financial modeling, research, and investment analysis.
Ten-month paid training program teaching financial modeling, data analysis, and investing fundamentals, followed by rotations with investment teams at a global hedge fund.
A 10-month paid training program for upcoming graduates to learn investment analysis, financial modeling, and data skills before potentially joining as a full-time equity research analyst at Point72.
Quantitative analyst builds and refines flow/positioning models in Python and SQL to provide investment teams with risk and alpha insights.
QA Engineer at Point72 builds and runs automated and manual tests for trading systems, ensuring compliance and performance while collaborating with dev and support teams.
Quantitative Analyst in Point72’s CIO office builds data-driven models to evaluate equity strategies, quantify market drivers, and improve portfolio performance for Long/Short Equities teams.
Build and research statistical arbitrage trading strategies using Python/C++ in a Linux environment, expanding into new markets and asset classes.
Entry-level role analyzing investment strategies, forecasting performance, and quantifying market drivers using Python and statistical models to support portfolio managers at a global alternative investment firm.
Build AI-driven equity trading signals using ML research, proprietary data, and modern architectures like LLMs and sequence models in a collaborative quant research team.
Research and build ML-driven trading models using deep learning and NLP to forecast market behavior and enhance financial predictions.
Builds and maintains trading systems and research infrastructure for a quantitative hedge fund, using Python, C/C++, and numerical libraries to automate alpha estimation, backtesting, and portfolio construction.
Builds and maintains data pipelines and tools in Python (and Go/C++) to clean, tag, and deliver financial datasets for systematic trading models.
Build and maintain data pipelines and tools to support statistical arbitrage trading strategies in equities, futures, and FX using Python, SQL, and Linux.
Build and optimize trading systems in Python/C++ while collaborating on a low-latency production platform for systematic trading.
Build and maintain .NET full-stack and Python applications for systematic trading systems, collaborating with teams to ship features and manage DevOps pipelines.
Research analyst builds and executes macro trade ideas in Southeast Asian FX and rates markets, leveraging deep regional expertise and technical skills.
About Cubist: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The…
Analyze alternative data to uncover industry insights and KPIs, then synthesize findings into research reports for investment professionals using SQL and Python.
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