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Design, build, and modernize cloud-native systems to automate Arrowstreet's systematic investment processes. Provide technical leadership, mentor engineers, migrate legacy systems to containerized/serverless platforms, optimize data flows for performance and resiliency, automate testing and deployment, and support production incidents with urgency while collaborating with business and technology stakeholders.

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

Design and build resilient platform features for microservices and real-time event-driven systems. Propose architectural improvements, support a large development community, and collaborate with investment and engineering teams to productionize complex investment strategies.

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.

Build and maintain full-stack applications, services, and analytics platforms for investment analytics and portfolio management. Design scalable data-processing tools, web applications, and cloud infrastructure; improve CI/CD, deployments, and testing. Collaborate with portfolio managers, researchers, and stakeholders to deliver production-quality analytical solutions using Python, C#, and modern web frameworks.

Senior Desktop Engineer responsible for endpoint management (Intune/SCCM), VDI (Azure Virtual Desktop/VMware Horizon), PowerShell automation, Microsoft 365 support, application packaging and patching, hardware lifecycle management, and AI-enabled tool adoption while ensuring security and compliance.

The Senior Quantitative Developer will enhance investment research processes by developing and maintaining Python libraries, designing APIs, and implementing distributed computing solutions.

The role involves providing financial planning and analysis, driving budgeting and forecasting, developing ROI assessments, and fostering vendor collaborations.

The Infrastructure Engineering role involves leading a team to manage core infrastructure platforms, ensuring operational excellence and driving strategic initiatives, including automation and Infrastructure as Code.

The Lead Engineer is responsible for developing and architecting scalable compute platforms and systems, ensuring high quality and efficiency in investment technology solutions through collaboration and mentoring.