Senior Engineer, Systematic Research Technology

Key Responsibilities

• Build and maintain research tooling and infrastructure in Python.
• Develop orchestration frameworks for large-scale data analysis, feature generation, and research workflows.
• Curate and manage broad financial and alternative datasets, with strong focus on quality, consistency, and usability.
• Improve data pipelines for ingestion, validation, transformation, and distribution.
• Partner with Quantitative Researchers to translate research needs into scalable engineering solutions.
• Support MLOps workflows, including automation, experiment management, and reproducibility.
• Optimize GPU integration and utilization across research workloads.
• Work with platform and infrastructure teams to ensure research systems are scalable, reliable, and efficient.

Required Qualifications

• Strong software engineering skills with Python as a primary language.
• Experience building research tooling, data infrastructure, or data-intensive platforms.
• Strong experience working with large financial and/or alternative datasets.
• Expertise in data curation and maintaining high standards of data quality.
• Experience with research orchestration and large-scale data processing workflows.
• Familiarity with MLOps practices and tooling.
• Experience supporting or optimizing GPU-based research or machine learning workloads.
• Strong attention to detail and ability to work closely with Quantitative Researchers.

Preferred Qualifications

• Experience in systematic investing or quantitative research environments.
• Familiarity with alternative data workflows and large-scale analytical platforms.
• Experience with distributed compute, workflow orchestration, and reproducible research environments.
• Exposure to cloud, containerization, or shared compute infrastructure.