Jobs at Point72

Develop and productionize low-latency Java components and market-data pipelines for systematic equity trading. Implement trade execution features, optimize ETL, caches and SQL databases, write automated unit/integration tests, and improve monitoring and tooling. Participate in training and take projects from design to deployment within a small team.

As a Market Data Operations Analyst, you'll manage market data vendors, support procurement processes, and ensure compliance with data governance.

The Risk Manager will oversee gas and power trading risks, ensure efficient risk-taking, and enhance risk management frameworks while mentoring quantitative analysts.

Provide technical support and optimization for enterprise SDLC platforms, artifact management, and static analysis tools. Implement security controls, develop automation to improve developer productivity, troubleshoot complex build/deployment issues, and maintain documentation while partnering with development teams to improve CI/CD pipelines and development infrastructure.

The role involves analyzing investment strategies, forecasting performance, communicating findings, and developing analytics tools to support decision-making and capital allocation.

Develop sophisticated trading models using machine learning and data analysis. Manage the research process from data ingestion to model evaluation. Collaborate and contribute to all stages of financial model development leveraging deep learning.

Seeking a Machine Learning Engineer to apply AI technologies in high frequency trading, focusing on automation and collaboration with AI research.

The role involves conducting research to develop systematic macro strategies and signals focusing on market microstructure for trading. Responsibilities include feature engineering, modeling, backtesting, and improving trading environments.

The Systems Analyst will implement and support Workday Financials and Adaptive Planning, enhance workflows, develop financial models, and integrate systems while partnering with finance stakeholders.

Design and implement a financial knowledge graph architecture, build graph ingestion and transformation pipelines, apply graph algorithms and analytics, define best practices, drive adoption across teams, and mentor/hire engineers to scale the platform while collaborating with investment and compliance stakeholders.

Build enterprise-grade data infrastructure and services supporting research, trading, and AI. Develop agentic workflows leveraging large language models, define service contracts and data models, build reliable scalable pipelines, ensure observability and performance, containerize and orchestrate deployments, and contribute to CI/CD and infrastructure-as-code automation.

Lead and mature the enterprise privileged access management program: define policies and governance, onboard privileged/service accounts and applications, enforce least privilege and segregation of duties, run certifications and audit responses, monitor metrics, automate workflows via scripting/APIs, integrate with identity and cloud systems, and mentor team members.

In this role, you will enhance fund reporting processes, prepare financial statements, collaborate with various teams, and drive automation improvements.

Lead delivery of end-user technology services; support PCs, laptops, conferencing, mobile and voice systems; troubleshoot and remediate complex issues; automate operational tasks with scripting; manage incidents and root cause analysis; run technology projects, vendor coordination, training, documentation, and provide rotational on-call and travel support.

Design, operate, and troubleshoot enterprise LAN/WAN/WLAN and data center networks. Maintain routing/switching, firewalls (Palo Alto), F5 load balancers, wireless infrastructure, automation (Python/Ansible), monitoring, incident response, upgrades, and 24x7 support with cross-team collaboration.

The NLP Engineer will develop NLP solutions, explore datasets, and build GenAI solutions for a quant research team at Point72.

Assist in NLP research for finance by constructing trading features, formulating hypotheses, and launching signals into production.

Manage stability, performance, and scalability of enterprise block, file, and object storage platforms. Automate provisioning and configuration, perform capacity planning and performance analysis, install and upgrade storage systems and firmware, lead incident response and root cause analysis, support backup and disaster recovery workflows, and collaborate with global infrastructure, database, cloud, and application teams.

The Fundamental Researcher conducts qualitative research to uncover insights about various industries, synthesizing findings into reports for investment professionals.

The candidate will develop software for quantitative trading, manage data pipelines, and enhance trading efficiency while working in a collaborative team.