Jobs at Point72

Conduct qualitative fundamental research on assigned industries by interviewing private company executives, analyzing supply-demand dynamics and emerging trends, and synthesizing findings into reports for investment professionals. Collaborate with investment, research, and compliance teams while maintaining high ethical standards and developing industry expertise.

Administer and improve enterprise collaboration platforms, including Microsoft 365, SharePoint Online, OneDrive, Teams, and Exchange Online. Responsibilities include data migrations, governance, licensing, access controls, API permissions, backup and restore, eDiscovery, incident response, reliability, and automation. The role partners across engineering, security, compliance, and business teams while participating in on-call support and change management.

Build and scale backend platforms, data pipelines, APIs, microservices, and infrastructure supporting generative AI applications. Integrate model inference, embeddings, retrieval, and fine-tuning workflows into production. Improve system performance, reliability, cost, monitoring, and security while implementing CI/CD, testing, and operational practices. Collaborate with data scientists, AI engineers, product owners, and operations, while mentoring engineers and leading technical delivery.

Conduct qualitative fundamental research on companies, industries, supply chains, and economic trends. Build industry expertise by interviewing private company executives and gathering market insights. Analyze structural shifts, supply and demand dynamics, competitors, markets, and technologies, then synthesize findings into reports for portfolio managers and investment professionals. Collaborate with investment, research, and compliance teams while maintaining high ethical standards.

Shape AI product initiatives for investment and business teams across APAC. Translate business needs into product requirements, workflows, user stories, and success measures; analyze feedback, adoption, and operational pain points; support prioritization and delivery; coordinate testing, documentation, training, and rollout; monitor performance and recommend improvements. The role partners with investment, research, data, engineering, compliance, and control functions while communicating progress and risks to stakeholders.

Quantitative Developer Interns will improve trading research infrastructure, optimize ETL pipelines, caches, and SQL databases, collaborate with quantitative researchers on trading signals, and develop automated equities trading applications and real-time analytics. The role requires strong Python programming and values Docker, Unix, shell scripting, profiling, code optimization, statistics, machine learning, ownership, independence, collaboration, and financial-services experience.

Develop and modernize software supporting fund accounting, trade processing, reconciliation, settlement, and prime broker integrations. Build scalable applications, REST services, microservices, data warehouse capabilities, and high-volume transaction systems. Collaborate with business stakeholders and technology teams using Agile and test-driven development. Support cloud migration to AWS, Kubernetes platforms, CI/CD, DevOps practices, system resiliency, automation, controls, and operational issue resolution.

Develop quantitative risk factor models, financial instrument analytics, performance calculations, and scalable reporting frameworks processing terabytes of data. Collaborate with risk quants, engineers, researchers, and internal stakeholders to translate complex business needs into technical solutions. Contribute to system architecture, code quality, data pipelines, SQL optimization, and large-scale distributed data processing.

Supports data sourcing and strategy operations by managing relationships with data and research providers, coordinating service changes, renewals, onboarding, contracts, and approvals. Partners with Legal, Compliance, Finance, investment teams, and vendors to ensure compliant data usage. Maintains the team knowledgebase, supports operational workflows, responds to internal requests, and assists with onboarding while assessing data needs and negotiating business terms.

Software engineering interns develop and enhance applications supporting asset management, including trading systems, research platforms, and data tools. They participate in code reviews, maintain codebases, ensure scalability, document design decisions, and collaborate with cross-functional teams. Interns gain exposure to AI, machine learning, big data, cloud computing, and investment-firm technology while developing technical, communication, and presentation skills.

Support proprietary investment research by applying data mining, statistical modeling, machine learning, and data engineering techniques to large, complex alternative datasets. Responsibilities include data collection and quality assessment, methodology selection, modeling, analysis, performance monitoring, and communicating findings to investment professionals and internal teams. The internship also involves collaborative R&D and developing compliant research products.

Supports Canvas, Point72’s supply chain research group, through qualitative fundamental research. The intern will develop industry expertise, interview private company executives, analyze supply and demand dynamics, identify competitors and technologies, and synthesize findings into daily summaries and comprehensive reports for investment professionals. The 10-week New York-based program also includes mentorship, networking, professional development, and exposure to investment, compliance, finance, and technology teams.

Support proprietary research by developing sector expertise, analyzing industry trends, business models, supply chains, and alternative data, and synthesizing qualitative and quantitative findings into research reports. Collaborate with data scientists, engineers, investment professionals, and Compliance teams to produce tailored insights that inform investment decisions. The 10-week New York internship also develops technical, writing, presentation, and project-management skills through mentorship and cross-functional exposure.

Monitor and prioritize Linux support tickets, perform production releases, install and troubleshoot Linux servers, manage Active Directory authentication and Ansible automation, analyze system performance and logs, conduct root-cause analysis, and maintain technical documentation. The role supports Red Hat Enterprise Linux and Ubuntu environments, storage and networking services, cloud platforms, and scripting-based operational automation.

Leads the firm’s data strategy by identifying and evaluating alternative data and research providers, negotiating contracts and pricing, managing provider relationships, and onboarding new content sources. Partners with investment, research, compliance, legal, and finance teams to align data resources with investment needs, monitor market developments, resolve user requests, and guide team members through sourcing workflows.

Six-month fellowship analyzing alternative data to identify business and industry insights for investment professionals. Responsibilities include developing sector expertise, producing written and visual research, collaborating with data science, engineering, sourcing, and compliance teams, and translating complex findings for varied audiences. Fellows gain exposure to discretionary investing and may be considered for permanent placement after completing the program.

Oversee the full contractor lifecycle, including onboarding, background checks, access governance, record maintenance, compensation and spend tracking, compliance documentation, and workforce reporting. Partner with HR, Talent Acquisition, Finance, IT, and Information Security teams to improve contractor controls and visibility. Use automation, dashboards, analytics, and AI-enabled tools to modernize workflows, improve data integrity, and identify scalable process improvements.

Support global payroll technology across Workday and outsourced payroll platforms such as CloudPay. Responsibilities include payroll configuration, integrations, production issue resolution, reconciliations, compliance controls, testing, release management, documentation, and stakeholder coordination across regions. The role translates payroll business needs into system requirements and ensures accurate, timely, and secure payroll processing.

Modernize Point72’s profit-and-loss reporting platform by building scalable data pipelines, reconciliation workflows, analytical applications, validation tools, and visualizations. The role owns features through design, development, testing, deployment, and support while partnering with finance and valuation stakeholders. It requires strong Python or C# development, T-SQL, Airflow, ETL, data visualization, React, numerical accuracy, data quality, and operational reliability skills.

Partners with Technology, Operations, Trading, Compliance, brokers, and third parties to prioritize and execute Trade Research projects. Improves workflows, implements trading connectivity, resolves operational issues, streamlines market-data evaluation and purchasing, and supports quantitative researchers and portfolio managers through operational excellence and cross-functional collaboration.