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The role involves developing flow datasets, integrating AI, releasing production code, and troubleshooting issues, while collaborating with researchers.

The role involves managing private credit transactions, developing workflows, and resolving trade discrepancies while ensuring accurate funding and cash flow operations.

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.

The Administrative Assistant supports investment teams by managing schedules, coordinating travel, processing expenses, and facilitating communication.

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

Collect and analyze competitive intelligence and conduct due diligence and investigations on investment candidates and related entities. Design data collection methods, use research, network analysis and AI/automation tools to produce high-quality reports and actionable recommendations for senior stakeholders, and improve workflow productivity.

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.

As a Market Data Support Engineer, you'll design, implement, and support Linux systems, manage infrastructure changes, and maintain co-location market data infrastructures.

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