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The Infrastructure Engineering role involves leading a team to manage core infrastructure platforms, ensuring operational excellence and driving strategic initiatives, including automation and Infrastructure as Code.

The Quantitative Developer will support investment research by coding in Python and R, designing data science tools, and conducting statistical analyses.

Quantitative Researchers will perform statistical analysis, research asset return patterns, write production-quality code, and improve portfolio construction within a systematic investment process.

This role oversees the operational processes of an investment services team, managing data quality and leading initiatives in investment operations.

The role involves developing investment technology systems, building scalable software solutions, modernizing legacy systems, mentoring engineers, and collaborating across teams.

The Senior Platform Engineer will design, automate, and operate the enterprise data platform, building data services and pipelines while ensuring security, reliability, and observability within a collaborative environment.

The Senior Quantitative Developer will enhance investment research processes by developing and maintaining Python libraries, designing APIs, and implementing distributed computing solutions.

The role involves providing financial planning and analysis, driving budgeting and forecasting, developing ROI assessments, and fostering vendor collaborations.

The Lead Engineer is responsible for developing and architecting scalable compute platforms and systems, ensuring high quality and efficiency in investment technology solutions through collaboration and mentoring.

The Senior DevSecOps Engineer will manage cloud security implementations, contribute to cybersecurity strategies, and enhance security workflows in AWS cloud environments.