Smart Money Trading Research📣 Job Ad

About the Role

Logos Testrics is seeking a Smart Money Trading Research professional to join our team in Tabuk, Saudi Arabia. This full-time role is focused on developing and implementing a robust research framework for analyzing smart-money concepts and validating repeatable trading patterns. The position is suitable for candidates with 0-1 years of experience.

Project Overview and Purpose

This project addresses the critical need for a structured research framework in trading decisions. The work is framed as an analysis system designed to organize data, signals, calculations, and research workflows efficiently. It aims to provide an analysis delivery story, exemplified by the ken4ward/smt repository, demonstrating a concrete implementation structure.

Key Responsibilities and Framework Capabilities

• Develop and maintain an analysis system utilizing Python, Docker, GitHub Actions, and Python pytest.
• Structure data-heavy thinking into repeatable tools, experiments, and decision support systems.
• Translate trading signals into traceable outputs within the analysis stack.
• Ensure the reviewability of assumptions, source transformations, and decision checkpoints.
• Implement and manage repeatable analysis and execution pipelines.
• Support repeatable build and validation behaviors through workflow and manifest signals.
• Contribute to structured execution and workflow visibility for portfolio-level quality discussions.

Required Technologies and Tools

The analysis stack for this role involves proficiency and practical application of the following technologies:

• Python: For core scripting, data manipulation, and analytical tasks.
• Docker: For containerization and ensuring consistent environments.
• GitHub Actions: For automation of workflows, builds, and validation processes.
• Python pytest: For implementing and managing test automation frameworks.

Qualifications and Experience

• 0-1 years of professional experience in a related field.
• Demonstrated understanding of research frameworks and data structuring principles.
• Familiarity with smart-money concepts and their application in trading.
• Experience with the technologies listed above, particularly Python for data analysis and automation.
• Ability to work with structured implementation signals and contribute to workflow visibility.

Project Discipline and Future Scope

The successful candidate will be expected to approach work with a high degree of discipline, mirroring the structured approach demonstrated in projects like ken4ward/smt. This role serves as a foundational step for future scoped software, QA, data, or AI delivery conversations, emphasizing the importance of well-organized and repeatable processes.