Jobs at Point72

Support Research Compliance by overseeing consultant interactions and custom projects, chaperoning and documenting consultant calls, maintaining compliance policies and systems, recommending policy improvements, and partnering with investment professionals and compliance team members.

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

The Fund Accountant will develop fund accounting processes for private credit, ensure accurate financial reporting, and collaborate across teams to support financial operations.

As a Software Engineer, you'll develop and enhance core analytics libraries using C++ and Python, collaborate with quants and traders, and ensure high-quality software delivery.

Manage valuations and models for Fixed Income derivatives, control market data inputs, perform price testing with third-party vendors, and liaise with various teams.

Provide Level 1 support and daily operations for critical data pipelines, including validation, cleaning, incident management, reporting, tooling, documentation, and permissions/entitlements support for finance trading systems.

Senior Data Engineers design and build solutions for extracting insights from data sets, focusing on developing big data pipelines and cloud infrastructure.

Develop and maintain user interfaces and microservices, collaborate with teams, ensure quality and coding standards, and solve technical issues.

Provide administrative support to investment teams by managing calendars, coordinating travel, creating expense reports, and maintaining relationships with partners.

The fellowship offers hands-on research experience, focusing on qualitative analysis of industries through communication with executives, culminating in comprehensive reports for investment professionals, while developing expertise in a specific industry.

Lead and operate enterprise chat platforms globally, drive platform transitions and governance, manage integrations, vendor relationships, and incident response, automate provisioning and workflows, partner with security and compliance, and lead change management and user enablement.

Develop on-brand digital and print collateral, manage website content, build content calendars, run email and social campaigns, analyze performance, apply AI/automation for reporting, manage distribution lists, and collaborate with creators to tell the Foundation's story.

The Employee Relations Specialist will manage employee relations cases, draft documentation, identify compliance risks, and collaborate with legal and HR teams to resolve issues while maintaining confidentiality and integrity.

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 Data Scientist will develop models and algorithms for data insights, design analytics platforms, automate pipelines, and collaborate with stakeholders to create scalable data solutions.

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

Design and maintain React and TypeScript applications for trading platforms, focusing on performance, testing, and collaboration with stakeholders. Mentor teammates and uphold engineering best practices.

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.