Jobs at Arrowstreet Capital LP

Evaluate trades against client guidelines and regulations, review portfolio compliance alerts, support portfolio rebalancing, and configure client restrictions in compliance systems. The role also analyzes investment guidelines, supports new investment initiatives, and develops, tests, and implements automated workflow enhancements and AI-enabled solutions while collaborating with investment, legal, regulatory, and client teams.

Leads portfolio compliance operations, including interpreting and negotiating investment guidelines, monitoring trade restrictions, resolving compliance alerts, overseeing client guideline setup and portfolio rebalances, and supporting regulatory and investment initiatives. The role manages a team and drives workflow automation, technology enhancements, and cross-functional collaboration with portfolio management, legal, investment services, regulatory compliance, and clients.

Architects, designs, implements, supports, and optimizes enterprise networking environments. Responsibilities include maintaining routers, switches, firewalls, and network software; documenting operations; researching and implementing network and security solutions; patching network devices; and developing long-term enterprise network roadmaps. The role requires expertise in Cisco, Palo Alto, F5, AWS hybrid networking, routing, switching, network architecture, security controls, and infrastructure automation.

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.

Design and operate AI platform infrastructure, ensuring security, compliance, and enabling self-service onboarding while collaborating across engineering teams.

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.

Design, build, test, deploy, and support backend services, APIs, and web applications for front-office trading workflows. Work with traders and stakeholders to integrate OMS/EMS and market data, improve order lifecycle and post-trade processes, troubleshoot production issues, and mentor junior engineers. Implement cloud-native solutions (AWS, Kubernetes) and explore LLM/Generative AI enhancements.

The Senior Data Platform Engineer will design and enhance the data platform, improve data processes, ensure data security, mentor junior engineers, and collaborate on data solutions.

Support procure-to-pay operations including vendor onboarding in Coupa, requisition and invoice validation, corporate card reconciliation, vendor communications, quote/pricing comparisons, approvals workflow coordination, compliance reporting (meals/gifts, 1099), and finance system/process improvement and testing.

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

Build and maintain Python and R code, design software and APIs for a research data platform, perform exploratory statistical analysis, implement performance improvements, run POCs on PyData tools, and collaborate with engineers to integrate new data sources.

Full-stack software engineer building and maintaining cloud-native applications for Client Management. Collaborate with product and business stakeholders, deliver features, automate testing and CI/CD, support production, and design AI-enabled integrations (LLM APIs, RAG, MCP). Emphasize good architecture, containerization, and documentation.

The Senior Software Engineer will design and implement software solutions for investment processes, engage with leaders, automate development, and support production escalations.

Design, implement, and support on-prem and cloud networking (AWS/Azure). Lead network architecture, security hardening, IaC automation (Terraform/Python/Ansible), connectivity (Direct Connect/ExpressRoute/VPNs), documentation, tooling, and on-call support while driving continuous improvement and infrastructure roadmap.

Partner with technology leadership and Finance to build KPIs, dashboards, and analytics that provide visibility into technology performance, spend, and organizational effectiveness. Lead budgeting, cloud cost optimization, executive reporting, and operational reviews to drive strategic decisions and operational improvements across cloud, infrastructure, engineering, AI, and security domains.

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.