Jobs at Arrowstreet Capital LP

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.

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.

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.

The role involves analyzing market data, supporting automated reporting, and enhancing marketing strategies within the asset management industry. It requires collaboration with various departments and expertise in financial services market intelligence.

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.

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

Support oversight of fund audits and audited financial statement production. Manage projects to automate and improve workflows, maintain operational procedures and deliverable calendars, liaise with internal teams and external service providers, develop controls and data checks, and assist with business requirements for new tools and reporting enhancements.

Develop and support high-quality software solutions for compute platforms, workflow, messaging, and observability systems, ensuring scalability and efficiency.

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.

This role oversees the operational processes of an investment services team, managing data quality and leading initiatives in investment operations.

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.

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

The Quantitative Developer will support investment research by coding in Python and R, designing data science tools, and conducting statistical analyses.

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

The role manages the tax function for sponsored funds, ensuring compliance with tax laws, improving processes, and providing oversight on tax-related matters while collaborating with various stakeholders.

Manage mid-to-large IT projects focused on investment technology, ensuring successful delivery through planning, collaboration, and stakeholder communication.

Design and implement a scalable cloud-native data and HPC platform for research, contribute features, ensure high quality via testing and tooling, participate in support rotations, and mentor junior engineers.

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.