Teams at Point72

Design, build, and optimize CI/CD pipelines (GitHub Actions, Jenkins); implement secure build chains (dependency scanning, SBOMs, artifact signing); apply DevSecOps practices and automated testing; use IaC (Terraform/CloudFormation/Ansible), containers (Docker) and Kubernetes; script in Python/Bash/PowerShell; troubleshoot SDLC platform issues and provide on-call support.

The Machine Learning Engineer will develop and maintain AI/ML systems, collaborate with teams for integration, and ensure compliance with standards.

Design, develop, and support ETL, data warehouse, PnL validation and adjustment tools, and PnL reporting frameworks. Build analytical tools and visualizations, modernize the PnL reporting platform, collaborate with Finance/Operations/Audit, and solve complex data and reporting challenges using modern technologies.