Jobs at Point72

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.

Provides administrative support to multiple teams through calendar and meeting coordination, conference room booking, expense tracking, travel arrangements, recruiting logistics, event planning, and backup coverage. The role requires strong organization, communication, judgment, multitasking, follow-through, and attention to detail while partnering with internal stakeholders to improve efficiency and maintain operational excellence.

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.

Support daily trade processing for macro and derivatives products by confirming trades, reconciling positions, resolving exceptions, managing operational workflows, monitoring foreign currency exposure, and coordinating with portfolio managers, traders, counterparties, prime brokers, and futures commission merchants. Assist with team onboarding, platform connectivity, client inquiries, process automation, and control improvements across global financial markets.

Supports daily trade processing across fixed income, derivatives, loans, FX, futures, options, and other products. Responsibilities include trade confirmation, exception management, position reconciliation, FX exposure monitoring, issue resolution with counterparties and brokers, portfolio team onboarding, account setup, platform training, and process improvement. The role requires knowledge of derivatives and syndicated loans, ClearPar experience, strong analytical and communication skills, and Excel/VBA proficiency.

Lead corporate communications across EMEA and APAC, including media relations, executive visibility, internal communications, thought leadership, and agency management. Advise regional senior leaders, coach executives, develop communications strategies, support recruiting communications, manage media relationships, and align regional messaging with global priorities. The role requires strong financial services communications experience, excellent writing and judgment, and regular international travel.

Develop automated equity trading applications, real-time analytics, data ETL pipelines, caches, and SQL databases. Collaborate with quantitative researchers to develop trading signals and improve research and trading infrastructure. The role requires production-quality Python development, containerization, Unix and shell scripting, and performance profiling. Candidates should work independently and collaboratively while maintaining high ethical standards.

Develop automated equity trading applications and real-time analytics, optimize ETL pipelines, caches, and SQL databases, and build infrastructure supporting quantitative signal research and trading. Collaborate with quantitative researchers while applying production-quality Python, containerization, Unix tools, profiling, and code optimization techniques.

Conduct trade and communication surveillance, investigate potential securities-law and policy violations, escalate suspicious activity, and produce intelligence-driven risk analysis. Respond to regulatory information requests, support senior management taskings, apply structured analytic techniques, and serve as a subject matter expert on relevant regulations, industry practices, and internal policies while protecting sensitive information.

Design, operate, and improve Kubernetes infrastructure on Amazon EKS; administer PostgreSQL on RDS; manage Terraform-based AWS infrastructure, IAM, registries, observability, CI/CD, and GitOps workflows. Collaborate with data engineers on containerization and deployment standards, remediate vulnerabilities, support cloud-native production systems, and participate in on-call incident response.

Design and build scalable data pipelines, APIs, cloud infrastructure, and AI-ready data products for proprietary investment research. Develop distributed data systems, implement data quality and governance controls, optimize performance and reliability, and deploy LLM-based tools and agentic workflows. Partner with investment professionals, researchers, data scientists, and compliance teams while providing technical leadership and guiding architecture and development efforts.

Develops strategic research and quantitative trading systems for multiple frequencies and products. The intern will help design and build technology supporting research and live trading, using Python or C++ and tools such as Linux, Git, Conda, and CI processes. Work may involve cloud platforms, databases, distributed or streaming computing, data science, and machine learning. Candidates should demonstrate quantitative skills, communication, attention to detail, ownership, teamwork, and ethical judgment.

Conduct fundamental credit research across convertible securities, loans, bonds, and credit default swaps. Build financial models, evaluate issuer fundamentals and capital structures, assess transaction documentation, identify relative value and thematic opportunities, monitor portfolio positions, and communicate actionable trade recommendations with clear risks and investment rationales.

Build and launch scalable data pipelines, products, APIs, and tools for proprietary market research. Develop big data processing systems, reusable software components, AI-ready data assets, cloud infrastructure, and governance controls. Partner with investment professionals, researchers, data scientists, and Compliance to deliver reliable, auditable, compliant solutions while optimizing system performance, cost, and reliability.

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 sources. Partners with investment, research, compliance, legal, and finance teams to align data resources with investment needs, resolve issues, monitor market developments, and guide team members through sourcing workflows.

Leads Treasury Technology strategy, product development, architecture, and stakeholder management across liquidity, margin, collateral, funding, and risk platforms. Oversees technical teams including developers, analysts, product specialists, and quantitative strategists. Drives software, analytics, cloud architecture, AI adoption, regulatory support, business process improvements, and project delivery while aligning Treasury requirements with enterprise technology strategy.

The role involves managing mortgage-backed securities valuation, performing model validation, ensuring compliance, and collaborating with investment and technology teams.

Supports middle-office trade operations for futures and alternative investment products. Responsibilities include confirming trades, reconciling positions, resolving exceptions with brokers and counterparties, facilitating futures delivery, investigating fees and taxes, monitoring funding trades, onboarding portfolio management teams, and improving operational controls and automation.

Analyze alternative data to uncover macroeconomic insights relevant to rates and foreign exchange markets. Develop expertise in market-driving themes and KPIs, produce written and visual research, communicate findings to investment professionals, and collaborate with data scientists, engineers, sourcing teams, and Compliance to create actionable investment research.