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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.
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.
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…
Senior Data Engineer builds and maintains big-data pipelines and cloud infrastructure to transform alternative datasets into investment research inputs using Python, Spark, and distributed systems.
Builds and maintains a scalable risk-reporting framework in Python, processing terabytes of data to support complex risk calculations for a global alternative investment firm.
A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the…
Build enterprise-grade data infrastructure and AI-powered workflows for a global investment firm, focusing on scalable data services, pipelines, and agentic tooling in Python and cloud environments.
Builds and maintains research infrastructure and backtesting frameworks for systematic trading strategies using C++ and Python.
Builds and maintains financial data pipelines, ETL workflows, and PnL reporting tools using Python, T-SQL, and Airflow to modernize Point72's financial reporting platform.
Designs and operates high-performance, low-latency network infrastructure for a global hedge fund, using Cisco/Arista hardware, BGP/OSPF, VXLAN fabrics, and Python/Ansible automation.
Design and build AI/ML systems for a global investment firm, integrating generative and traditional models into trading platforms using Python, TensorFlow/PyTorch, and cloud infrastructure.
Designs, trains, and deploys AI/ML models and data pipelines to power predictive analytics for systematic trading in finance, using Python, SQL, and modern AI tools.
Build and maintain a financial knowledge graph to model complex relationships between companies, industries, and economic insights using graph databases and Python.
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