Computer Scientist: Models Architecture in Enterprise Platforms

Job description

Platform Development

• Partner closely with researchers and the embedded Research Platform team to deliver scalable platform capabilities.
• Improve platform reliability, maintainability, transparency, reproducibility, and governance.
• Contribute to the strategic principles driving the long-term evolution of the research platform.

Software Architecture & Engineering

• Design and implement scalable software frameworks supporting research and production workflows.
• Apply software engineering best practices including object-oriented design, design patterns, testing frameworks, code reviews, and version control.
• Design clean, reusable, maintainable, and extensible software systems.
• Review and approve critical architecture decisions and production code.
• Mentor developers and promote engineering excellence across the Quantitative Research organization.

Research Product Ownership

• Take ownership of selected existing research products and quantitative models within Global Quantitative Research.
• Develop sufficient understanding of inherited research models to maintain, enhance, and support them over time.
• Collaborate closely with researchers to evolve existing models and analytical frameworks.
• Ensure research products remain scalable, maintainable, and production-ready.
• Support the migration of research into production environments through robust engineering and platform design.

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Desirable Experience

• Quantitative finance or quantitative research environnements.
• Graph theory and graph-oriented software architectures.
• Directed Acyclic Graph (DAG) frameworks.
• Workflow orchestration and dependency management systems.
• Quantitative models and analytics platforms.
• Parallel or distributed computing.
• Cloud-based infrastructure and platform services.
• Machine learning systems and model deployment frameworks.