Jobs at Arrowstreet Capital LP

Serves as a strategic Talent Acquisition partner for investment groups and priority technology hiring. Leads full-cycle and complex senior searches across quantitative research, quantitative development, portfolio management, artificial intelligence, and engineering. Develops talent pipelines, conducts market mapping, provides compensation and competitor insights, negotiates offers, and advises senior leaders while delivering a high-touch candidate experience.

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.

Evaluates trades against client guidelines, offering memorandums, and regulations; monitors portfolio compliance alerts; supports portfolio rebalancing; configures client restrictions in compliance systems; and leads workflow automation and technology-enhancement initiatives. The role collaborates with portfolio management, investment services, legal, regulatory compliance, and client teams, supports new investment strategies and regulatory changes, and oversees junior team members.

Owns the integrated Platform Engineering roadmap, prioritizing internal platform capabilities based on stakeholder needs, adoption, service performance, risk, cost, and engineering capacity. The role coordinates cross-team initiatives, defines service expectations including SLAs and SLOs, monitors operational performance, supports adoption, and provides leadership with evidence-based recommendations. Success requires strong technical product management, stakeholder influence, roadmap development, service management, and outcome measurement skills.

Build and maintain AWS cloud infrastructure automation and platform frameworks using Python. Develop APIs and Infrastructure as Code capabilities supporting CI/CD, improve cloud security and production posture, and enable AWS services across the organization. Partner with application and infrastructure teams to deliver cloud transformation, identify use cases, mentor engineers, and promote automation, innovation, and engineering best practices.

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.

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.

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.

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.

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